phd proposal in internet of things

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Phd research proposal in internet of things [iot proposal].

Trending Research Proposal in Internet of Things(IoT) for PhD

The IoT permits interconnection between physical and virtual smart devices through the Internet. The IoT devices are generally tiny in size and have low power with limited processing capabilities. The devices sense the environmental-related information and forward the sensed information to further processing via gateways. The IoT is a standalone system, whereas it is easily built with conventional technologies to offer various kinds of services. The IoT extends the conventional technologies like wireless sensor networks and radio frequency identification with restricted interoperability to meet the application-specific requirements. The IoT permits communication among smart devices directly or through relay devices. The burgeoning IoT technology provides different novel solutions in diverse IoT applications. Some prime IoT applications are smart agriculture, smart grids, smart industries, smart homes, smart vehicular systems, and smart cities. The Ph.D. proposal in IoT comprises novel ideas in diverse IoT platforms like routing, security, privacy, and application-specific requirements. The IoT is a vast technology that not only assists in tangible individual development, also plays a significant role in growing the economical status of the country. It has more future directions and paves multiple opportunities to the researchers.

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The Role of the Internet of Things (IoT) in Transforming the Business Model of Small and Medium Enterprises (SMEs)

Sample Thesis Introduction

Chapter 1: Introduction

1.1. existing research gaps.

With the world becoming more interconnected and the increasing disruptiveness of information technology, the concept of the internet of things (IoT) has become an important research topic (Ehret & Wirtz, 2017, 1). Given the growing acceptability of IoT, organisations are now prompted to adopt IoT solutions to improve and enhance the experience of their customers and clients (Metallo, Agrifoglio, Schiavone & Mueller, 2018, 298). In accordance with Kiel, Arnold & Voigt (2017, 4), IoT crates a network of interconnected physical devices, which exchange data with each other through the internet, allowing enterprises to obtain and use strategic information (Gierej, 2017, 206). The existing marketing literature has shed some light on the effects of IoT on consumer behaviour and its contribution to the creation of new business opportunities (Boyes, Hallaq, Cunningham & Watson, 2018, 1). In contrast, there is no much empirical evidence on how IoT helps companies deal with external and internal challenges by altering their business models (Lu, Papagiannidis & Alamanos, 2018, 285). Considering the uncertainties of IoT as well as the relative novelty of this concept, the significance and importance of business models that allow organisations to shield their customers and clients against external fluctuations and changes should be further investigated. This project contributes to bridging this gap in the literature by providing the reader with a deeper understanding of the opportunities and threats offered by IoT and its role in business model change in the context of small and medium enterprises (SMEs).

1.2. Rationale

The topic of IoT is of particular interest to the researcher due to a range of reasons. One of these causes is that the significance of relationship marketing has dramatically increased with the emergence of IoT (Glova, Sabol & Vajda, 2014, 1122). Today, marketers are striving towards the establishment of long-term relationships with consumers, instead of simply stimulating their intention to buy (Krotov, 2017, 831). The role of IoT in this process is considerable as the internet and mobile devices have being increasingly used for communication purposes by both consumers and businesses (Ehret & Wirtz, 2017, 1). The growing presence of IoT translates into more sophisticated and effective marketing strategies, which tend to use such instruments as neural networks and artificial intelligence (AI) (Kiel et al., 2017, 4). Nonetheless, the literature that examines how companies make use of the technological potential of IoT for organisational design is still fragmented and insufficient (Alexopoulos, Koukas, Boli & Mourtzis, 2018, 880). Another reason for choosing this particular topic is that the pace at which IoT develops makes the majority of standard business models adopted by SMEs unsatisfactory (Metallo et al., 2018, 298). Hence, there is a strong urge to understand how the potential business opportunities and threats created by IoT can lead to reorganisation activities aimed at the SMEs’ business models.

1.3. Thesis Background

IoT research has been predominantly stimulated by the need for convergence in a range of interdisciplinary technologies (Wang & Hsieh, 2018, 28). To get a better understanding of the relationship between IoT and the business model, it is relevant to have a closer look at what constitutes the internet of things. The IoT landscape comprises three major dimensions or environments, namely technological environment, physical environment, and socio-economic environment (Gierej, 2017, 206). The technological environment consists of such elements as hardware, software, data, networking technologies, and integrated platforms, which enable communication and interactions of the objects in the physical environment (Babiceanu & Seker, 2019, 47). In turn, the physical environment is comprised of human and non-human objects that are linked together by means of the previously mentioned elements of the technological environment (Lu et al., 2018, 285). Finally, the socio-economic environment consists of various stakeholders (e.g. consumers, entrepreneurs, legislative bodies, and industry associations) that set requirements, address technical and legal issues, and determine the success or failure of a business entity (Krotov, 2017, 831). By using these dimensions and their elements in combination, SMEs can create new value propositions or business models with the help of IoT. However, the success and effectiveness of these enhanced business models depends on how well organisations address IoT-driven threats that exist in the external environment (Boyes et al., 2018, 1). These threats can include challenges of information and data reliability, potential market disruption by new competition, intellectual property risks, and safety and security issues (Ehret & Wirtz, 2017, 1).

1.4. Aim and Objectives

Based on the identified research and literature gaps, the main purpose of this doctorate project is to explore the role of IoT in transforming the business model in the context of SMEs. The research objectives are:

To examine the key elements of the IoT landscape and connections between them.
To identify the role of IoT in the value creation process in the context of SMEs.
To explore the impact of IoT on SMEs’ business models.
To investigate SMEs’ response to business opportunities and threats generated by IoT.
To provide SMEs’ management with recommendations on what particular improvements could be introduced to their business model to make it more responsive to the recent IoT trends.

1.5. Suggested Methods

This doctorate project employs a mixed method approach, which is justified by the fact that no sufficient research on the relationship between IoT and business models in the contexts of SMEs exists (Kiel et al., 2017, 4). The sample was drawn from 250 managers and owners of UK-based SMEs. Semi-structured interviews with these individuals formed the principal source of empirical data (Merriam, 2015, 134). While collecting data occurs in a structured manner, this technique still allows for following the principle of openness (Howell, 2012, 93). In turn, the researcher employed self-administered questionnaires to explore what elements of the IoT landscape the sampled SMEs use the most. In addition, this technique helped the researcher investigate the respondents’ perceptions of the key opportunities and threats created by IoT (Lo & Campos, 2018, 10). The researcher performed sampling by using the non-probability convenience sampling technique, thereby allowing for collecting data in a fast and efficient manner (Pruzan, 2016, 79). By contrast, the use of this technique could negatively influence the generalisability of the obtained empirical findings (Bryman & Bell, 2010, 142).

Alexopoulos, K., Koukas, S., Boli, N. & Mourtzis, D. (2018). “Architecture and development of an Industrial Internet of Things framework for realizing services in Industrial Product Service Systems”. Procedia CIRP , 72(1), 880-885.

Babiceanu, R. & Seker, R. (2019). “Cyber resilience protection for industrial internet of things: A software-defined networking approach”. Computers in Industry , 104(1), 47-58.

Boyes, H., Hallaq, B., Cunningham, J. & Watson, T. (2018). “The industrial internet of things (IIoT): An analysis framework”. Computers in Industry , 101(1), 1-12.

Bryman, A. & Bell, E. (2010). Business research methods . 3 rd ed., Oxford: Oxford University Press.

Ehret, M. & Wirtz, J. (2017). “Unlocking value from machines: Business models and the industrial internet of things”. Journal of Marketing Management , 33(1-2), 1-20.

Gierej, S. (2017). “The framework of business model in the context of Industrial Internet of Things”. Procedia Engineering , 182(1), 206-212.

Glova, J., Sabol, T. & Vajda, V. (2014). “Business models for the internet of things environment”. Procedia Economics and Finance , 15(1), 1122-1129.

Howell, K. (2012). An introduction to the philosophy of methodology . London: SAGE.

Kiel, D., Arnold, C. & Voigt, K. (2017). “The influence of the Industrial Internet of Things on business models of established manufacturing companies–A business level perspective”. Technovation , 68(1), 4-19.

Krotov, V. (2017). “The Internet of Things and new business opportunities”. Business Horizons , 60(6), 831-841.

Lo, F. & Campos, N. (2018). “Blending Internet-of-Things (IoT) solutions into relationship marketing strategies”. Technological Forecasting and Social Change , 137(1), 10-18.

Lu, Y., Papagiannidis, S. & Alamanos, E. (2018). “Internet of Things: A systematic review of the business literature from the user and organisational perspectives”. Technological Forecasting and Social Change , 136(1), 285-297.

Merriam, S. (2015). Qualitative research: A guide to design and implementation . Chichester: John Wiley & Sons.

Metallo, C., Agrifoglio, R., Schiavone, F. & Mueller, J. (2018). “Understanding business model in the Internet of Things industry”. Technological Forecasting and Social Change , 16(1), 298-306.

Pruzan, P. (2016). Research Methodology: The Aims, Practices and Ethics of Science . New York: Springer.

Wang, Y. & Hsieh, C. (2018). “Explore technology innovation and intelligence for IoT (Internet of Things) based eyewear technology”. Technological Forecasting and Social Change , 127(1), 281-290.

February 5th, 2020

Internet of Things IoT Dissertation Topics

Controlling all devices by connecting them to a common network is called the internet of things. Devices are programmed to control and operate them. By choosing an innovative IoT Dissertation Topics , you can learn a lot more about latest trending technology in internet of things. Making IoT is your research area can fetch you great scope for MS thesis writing . To make your work easy we are here providing you with all the basic ideology to start with your PhD MS IoT Research work . Let us first start with the advantages of the Internet of things.

What are the benefits of IoT?

The major advantage of the internet of things is the devices that can be connected to a network. Any device and anything can be connected to form IoT.
Both to and from communication is possible with IoT. So messages can be passed in one-hop or multi-hop communication.
Distance range does not matter in IoT. It can be used to communicate from anywhere to any place.
People can stay connected at any time and in context with anyone across the globe.
It improves homogeneous and heterogeneous data collection support for IoT users

These advantages of IoT make it an unavoidable technology of today . We have nearly 9+ years of experience in guiding research projects on the Internet of things . So we have been traveling with its journey of advancement since its beginning. We are providing world-class research guidance for any type of research as real-time or application-type projects. Here we give you a list of trending IoT Dissertation Topics .

MS THESIS IDEAS IN IOT

Here is a list of IoT research topics that you can refer to for writing your MS thesis on the internet of things .

Context-driven intelligence
Distributed AI for IoT
Security and Privacy for IoT AI
Fight Against COVID-19 using AI
Machine learning for Devices
Use of IoT/ AI to fight COVID-19
AI for Low power IoT devices
Embedded AI with IoT architecture
Edge Computing with IoT using AI
AI for IoT edge computing
Data Analytics over Edge Computing

IoT with 5G and beyond

Software-defined networking solutions
Critical and URLLC
Multiple access networks and network backhaul
Blockchain solutions
Energy efficiency and wirelessly powered
6G-enabled IoT
Cooperative communication techniques
IoT architecture with 5G and beyond networks
Massive connectivity
IoT short-range communications
Efficient resource allocation schemes, QoS, and QoE
IoT security of smart sustainable cities
Contact tracing to fight against COVID 19
Cryptography, key management, authentication and authorization

You can either start with any of these topics if you are interested in IoT. These are the most trending research areas in IoT . For any help in choosing the innovative IoT Dissertation topics , you can call us from anywhere at any time. Our best technical team is ready to support you all the time for 5g Master thesis. We have provided brief ideas on different simulation tools for IoT that we used before to develop real-time IoT projects . These can definitely aid you in writing your thesis on the Internet of things .

SIMULATION TOOLS FOR IOT

You can refer to the following simulation tools to know about our vast knowledge attained through research guidance that we rendered across the world.

Active MessageC algorithm broadcasts messages in TOSSIM simulation. For instance, wireless sensors are connected into IoT and used in electrical appliances of real houses.
MST Algorithm establishes communications between client and server simulated using Cooja. By Contiki OS low power IoT devices are controlled for home automation.
Network design in NetSim includes Routers, AP, Nodes, switches, 6LoWPAN Gateway and Sensor Motes. IEEE 802.15.4 standards perform interpretation of physical layer. It uses M/D/1 queue model, IPV4 and IPV6. AODV (RFC 3561), 6LoWPAN Gateway and RPL (RFC 6550) are used in routing.
A number of MQTT clients are simulated in a single box using BevyWise IoT Simulator. The data and messages are stored in MYSQL database. They are reused for scheduling in Narrow based IoT.
PureEdge simulation toolkit is used for IoT project by load balancing algorithm. Cloud, Edge computing and Fog are successfully simulated with this tool.
Geo-fog paradigm project using many sensors is simulated with QualNet IoT toolkit. For instance, Home automation IoT project using ZigBee is simulated with QualNet. In this project, standard mathematical structure and K* heuristic algorithm are used for searching the optimal path during emergency.
This modeller supports wide variety of protocols for HetNets project simulation. For instance, Project of Opnet on the basis of Zigbee protocol involves KCN routing protocol and OPNET TIREM for route selection and propagation respectively.

These are the various simulation tools that we used in developing various real-time IoT projects . Our world-class certified engineers will assist you completely throughout your research IoT Dissertation Topics. We provide you scam-free, reliable, and the most professional research guidance . With our total experience gained in guiding research projects in IoT , here we suggest you the best solution to any problem that you face during your research journey. Below is our answer to one such question.

HOW TO AVOID PLAGIARISM IN MS THESIS?

To avoid plagiarism in your thesis writing in IoT , you should be more careful. But it becomes easy when you bear the following points in your mind.

Spend more time collecting resources on your topic
Before beginning to write have a well-charted plan
Mention the sources
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References have to be added
A checker of plagiarism has to be used.

Hope you are now convinced to start with your IoT dissertation Topics . Contact us for any of your doubts regarding the selection of the topic if you have other novel ideas. We will provide you with all the necessary and reliable resources to proceed.

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PhD Thesis on Internet of Things

PhD Thesis on Internet of Things is a bridge between your goal and our completion. Internet of Things refers to IoT, which connects 1000’s of smart devices via Internet. Thesis writing in this field is not new for us since we served nearly 2000+ thesis for the PhD students. Our help to you is the easiest key to unlock your PhD success. Let’s come up with your purpose and go to your place with happiness.

TAKE IDEA FROM OUR EXPERTS

At this instant, many PhD service firms will interest in serving scholars. Due to the lack of resources today, scholars are not happy with them. But, we will love to answer our students with 100% loyalty.

Further, if anyone needs to complete your PhD thesis on Internet of Things , click one Email. We have an excellent team of writers to do your IoT thesis with the most excellent quality. We will improve yourself and what you will do for your thesis.

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Our promises for your PhD Thesis on Internet of Things

Firstly, unique thesis topic selection which is very recent today
Prior to the research proposal with a high-quality
Now that software execution with original outcomes
Then, paper writing with the promise of journal publication
No plagiarized content
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In your university layout
Original algorithms and pseudocodes
Required length
Adequate citations
Your preferred bibliography format

LEARN SOME NEW CONCEPTS FROM US

5G communication for IoT
Context-aware computing for IoT
RPL improvements for IoT communication
Self-healing IoT smart sensors
Fog of Everything for smart industries
IIoT for industry 4.0
Blockchain for security management
NFV based orchestration
IoT semantics
P2P Multimedia streaming
Hadoop framework for IoT data analytics
Cloud data analytics for IoT
Web of things for future Internet

Our execution policies for your IoT research

We will seek our precise aid at any stage of your research. Even though Networking is essentials for IoT, we do not use those simulation tools. Unlike others, we have a separate list of the simulation tools only for PhD Thesis on Internet of Things .

With this intention, let’s look over some of the simulators,

BevyWise IoT simulator
Ansys IoT simulator
IBM Bluemix
SimpleIoTSimulator

We have the fit program writers to shape your project in other simulation tools without a doubt. Some of them are as follows,

Cloud Analyst, and other tools.

In any platform, our prime goal is to extract the best upshots from your research. Don’t lose your valuable time for any problem-solving in your thesis. Since we are in control of your fruitful PhD!!

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Finalize journal (indexing).

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How to Write a Great PhD Research Proposal | FindAPhD.com

How to Write a Great PhD Research Proposal

Written by Mark Bennett

You'll need to write a research proposal if you're submitting your own project plan as part of a PhD application. A good PhD proposal outlines the scope and significance of your topic and explains how you plan to research it.

It's helpful to think about the proposal like this: if the rest of your application explains your ability to do a PhD, the proposal demonstrates the actual PhD you plan to do. Of course, being able to effectively plan and explain a research project is one of the key qualifications for being able to complete one, which is why the proposal is such an important part of the PhD application process.

Thankfully, the secret to writing a good research proposal isn't complicated. It's simply a case of understanding what the proposal is for, what it needs to do and how it needs to be put together.

If your PhD is advertised by a university, you probably won't need to submit a research proposal for it. The broad aims and objectives for your PhD will already be defined: you just need to prove you're the right person to do it.
But, if you're proposing your own research topic to research within a university's PhD programme, you will need to write a proposal for it (the clue is in the word "proposing")

As a rule, advertised PhDs are very common in STEM subjects, whereas Arts, Humanities and Social Science students are more likely to propose their own PhDs.

Some PhD programmes actually wait and ask students to develop their research proposal during the degree (usually after they've completed some initial training). This is normal in the USA , but it's becoming more common for some UKRI-funded UK PhDs.

For the purposes of this guide we're going to assume that you do need to write a good research proposal for your PhD application. So let's explore what's involved in that.

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What should a research proposal for PhD admission include?

It's natural to be a little intimidated at the thought of structuring a PhD proposal, particularly if you've never written anything like this before.

But here's the thing: a research proposal isn't a fiendish test designed to catch you out and stop you ever doing a PhD. It's actually much more boring than that.

All a research proposal really is is a document that demonstrates three things:

Your PhD is worthwhile
Your PhD is feasible
You are capable of completing it at this university

Or to put it even more simply: the PhD is worth doing, it's doable and you can do it.

Demonstrate your PhD is worthwhile (the what and the why)

A successful PhD project has to make a significant original contribution to knowledge. If it doesn't, it won't meet the criteria for a doctoral degree and will probably fail the viva exam .

Your PhD proposal itself doesn't have to meet those criteria (or pass a viva!) but it does need to indicate that your PhD project eventually will.

It does that by first demonstrating that your research topic is original. That means nobody else has studied this same topic (or one very similar) before.

There are all sorts of ways a PhD can be original. You might examine new data or primary sources, to look at existing material from a fresh perspective, or deal with the impact of new events. It doesn't matter how your project is original, so long as your proposal is really specific about what makes it original.

You also need to explain why your proposed research will be academically significant. To do this properly, you'll need to acknowledge relevant existing scholarship and explain how your research will relate to it. You don't need to be exhaustive at this point, but you should be able to show how your PhD will contribute to its field and – ideally – indicate some of the gaps in knowledge it will aim to fill.

The final step in demonstrating your PhD is worthwhile is to suggest what will become possible as a result of your research. How could other researchers use or build upon your results? What might closing those gaps in academic knowledge mean for audiences outside the unviversity?

Demonstrate your PhD is feasible (the how)

It isn't enough just to show that your research is worth doing; it also needs to actually be doable.

The length of a full-time PhD is around three to four years in most countries (it's longer in for a PhD in the USA , but you don't spend all that time doing research).

Three years may seem like a long time, but researching a PhD is a lot of work and you'll probably spend at least some of your time on other activities like teaching, conference presentations or even publication.

So, one of the things your proposal needs to do is demonstrate that your project is feasible: that it fits within the scope of a PhD.

The most important criteria for this is to be clear about what you plan to do. It should be obvious from your proposal what the scope of your project is – what is and isn't included within it.

You also need to outline how you plan to go about your research. Where will you start and what order do you expect to proceed in? Is the logic for that obvious? If not, it's probably a good idea to explain it.

Finally, you need to explain the methodology you plan to use. This could include techniques for collecting data and sources, theoretical perspectives for analysing them – or both. You may also need to detail specific equipment you expect to use or fieldwork you'll need to undertake (including trips to archives or other external resources).

None of this needs to be exact or completely final. The key word here is 'plan' – but you do need to have one.

Demonstrate that you can complete it at this university (the who and the where)

So far we've thought about the project itself: what makes it worth doing and how it's going to get done. But your proposal also needs to address the who and the where: why are you the right person to carry out this research, and why do you want to do it at this particular university?

The first part of this is easier than it probably looks. Writing a good research proposal demonstrates enthusiasm for your project much more convincingly than simply saying you're very interested in it (a classic case of 'show, don't tell').

You also don't need to repeat your grades and academic achievements (other parts of your PhD application will cover those). Instead, try to underline experiences that relate to this project. Has a particular module or Masters dissertation topic prepared you with useful subject knowledge or methodological skills? If so, highlight it.

It's also fine, within reason, to be honest about the skills you don't have and to identify your training needs. This shows you're being practical about your project and thinking seriously about what it will require. Just make sure you can realistically acquire the skills and training you need within the time available (this goes back to the feasibility).

Showing your project is a good fit for the university is also relatively simple. There should already be some reasons why you've chosen this university for your PhD so make sure you explain what they are. Perhaps there's a particular supervisor you'd like to work with , or facilities and resources your research could use. The key is to emphasise the fit between the project and the university – so don't just say you want to research there because it's highly ranked .

PhD research proposal structure

Hopefully the above sections have given you a few ideas for the things your proposal needs to include. Let's be honest though, the scariest thing about a proposal isn't deciding what to include: it's actually writing it.

But, if we flip that on its head, we remember that all a research proposal really is is a piece of writing that follows a pretty standard format. And that's a lot less scary.

Research proposal structure

Because proposals for PhD all have to do the same things, they mostly follow a similar structure. Yours will probably go something like this:

Title – Keep it simple and descriptive: the clever alliteration and quotes can come later when you write up your thesis. For now, you just want the person reading this to know exactly what your research is about and, perhaps, which prospective supervisor to send it to.
Overview – Start by defining your research question (the what) and explaining how it contributes to current work in your field (the why). This is also a good place to reference one or two pieces of scholarship: the full literature review can wait until your PhD begins, but you should show that you have some understanding of relevant academic research.
Methodology – Make sure the reader understands the practical and / or theoretical approaches you'll take to your research. What data will you collect, how will you collect it and how will you analyse it? Ideally refer to relevant research methods and models. It's also a good idea to provide some sort of roadmap for how you'll go about things. Don't worry, you can change it later (and you will).
Outcomes and impact – What will exist as a result of your research (other than just another PhD on a library shelf) and what will it make possible? You don't need to identify every specific outcome from your project (blue sky research is fine) but you should think about what some potential outcomes might be.

You probably won't need to include a specific conclusion - it should be obvious, by now, what your project is doing, how you're going to do it and why that matters. A quick summary sentence is fine though, if you think it will help.

Writing tips

Being able to effectively communicate academic concepts, ideas and results is a key skill for PhD research in all subjects . Think of your proposal as a chance to demonstrate this.

The good news is that the key principles of good proposal writing aren't that different from other work you've probably done as a Bachelors or Masters student:

Be clear – The person reading your research proposal should know exactly what it is you're proposing to research, with no room for ambiguity and confusion. This is important on a practical level (they need to know where to send it) but it's also important to the success of your application: a confusing proposal suggests a confused project. Try having a friend read it and ask them "do you know what it is I'm proposing to do here?" (even if they don't understand the details).
Be concise – You will have more ideas than you can include in your proposal. That's fine. Choose the best ones and leave the others for your interview .
be coherent – Follow something like the structure above. Don't start with your methodology, then say what it is you want to research.

How long should a PhD research proposal be?

Honestly? As long as the university asks for it to be. Most will have guidelines and you should follow them closely if so.

If you honestly can't find a suggested word count for your proposal, then consider asking a prospective supervisor . If you still aren't sure, aim for somewhere between 1,000-2,000 words .

As a very general rule, Arts, Humanities and Social Sciences are a bit longer than STEM proposals (and a lot of STEM students don't have to write one anyway, as we've explained).

Research proposal for PhD admission - dos and don'ts

Research proposals are a popular topic over on the FindAPhD blog , where we've shared stories of how students wrote theirs , along with mistakes to avoid and a counter-intuitive look at the things a PhD proposal doesn't actually need to do .

Here are a few general tips and mistakes to avoid:

#1 Give yourself enough time to do a good job

Preparing to write a PhD proposal takes time and effort. None of this is wasted as the process of evaluating and framing your ideas for a proposal will improve your project plan immensely. So will the need to decide which ideas to include.

But you need time and space to do that, so make sure you get it. How long it will take to write your PhD proposal is heavily dependent on your personal working style, but you'll likely need to give yourself at least a few weeks to do a good job.

#2 Set out to impress

A good proposal isn't a begging letter. You're approaching the university with a great idea that's going to contribute to and enhance their research. Be honest, be realistic, but don't be unnecessarily humble. They should want you and your project.

#3 Demonstrate original thinking!

You may not need to present original research findings yet, but your proposal does need to present original ideas – and it should be clear why and how those ideas are original.

Make sure you indicate how your project is going to expand, enhance or even correct existing work in your field. Remember that making an "original contribution to knowledge" is a key part of what a PhD is .

#1 Send the same proposal to several universities

A good proposal needs to explain why you want to do your research at a particular university. That's a big part of the feasibility (the fit between project, person and place) and methodology (how are you going to use this university's equipment and archives; when and where will you need to travel).

It's OK to apply to more than one university in parallel, but, in that case, you're writing research proposals .

#2 Use online proposal templates (without evaluating them first!)

It can be tempting to search for PhD proposal samples on the internet, but make sure you evaluate what you find. Some websites may host old proposals from previous PhD students, but there's no way of knowing how relevant these are to your subject and university – or if they were even successful! More 'generic' research proposal examples can offer guidance, but they won't be tailored to your specific project.

The best place to look for a PhD proposal sample is your university. Consider asking your supervisor if they can share a good proposal from a previous student in your subject – or put you in touch with a current student you can ask.

#3 Confuse the proposal with the PhD

We've covered this on the blog , but it's simple enough to include here too.

You're setting out to do a PhD, but you (probably!) haven't done one yet. So you don't need to include research findings, in-depth analysis or a comprehesive literature review. You need to make a case for the research and analysis you want to do.

#4 Ignore your university's help and guidance

The advice on this page is necessarily quite general. We're considering adding guides to writing PhD proposals in specific subjects in future but, for now, the best place to get specific advice for your academic field is probably the university you're applying to.

See if you can get some subject-specific tips by contacting a supervisor , or just checking with the admissions team for your department.

And remember: if they give you a structure and a word count, stick to it.

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Top iot projects for 2024, smart alarm clock, next steps , top 20 ultimate internet of things (iot) projects for 2024.

How are you reading this video right now? It might be on your smartphone, desktop, or tablet. Connecting devices to the Internet yields fantastic benefits. But what is the Internet of Things ?

In a nutshell, IoT is the concept of connecting any device to the internet and other connected devices. All instruments in the network interact with each other to collect and share data. Today, IoT is being used extensively to lessen the burden on humans. To name a few, IoT is deployed for Smart homes, Wearables (watches and bracelets), Smart Cars, Smart farming, Smart Retail, Smart Grids, Smart city, and smart healthcare.

With such a broad spectrum of applications, the future of IoT looks more promising than ever before. In this internet of things projects article, we bring you the top IoT projects of 2020. If you are a student, you could consider them for academic purposes or implement these purely out of interest.

Explore the most innovative IoT projects for 2024 with our all-inclusive guide! Our carefully chosen collection of projects highlights the most recent advancements in Internet of Things technology, ranging from industrial monitoring systems to smart home automation. Enroll in our Java course to gain the skills necessary for building amazing projects using the Java programming language and confidently explore the world of networked devices. With the help of our expert advice, realize your ideas and unleash the potential of IoT.

Now that you know what the Internet of Things is, continue reading to learn some easy yet exciting Internet of Things projects.

Smart Mirror

Smart money transfer.

IoT based Smart arm

Smart Irrigation

Air monitoring system.

IoT based Weather Reporting System

Smart Wheelchair

Smart street light system, smart agriculture system, home automation system, face recognition bot, air pollution monitoring system, smart parking system project, smart cradle system project, smart gas leakage detector bot, liquid level monitoring system, night patrol robot, health monitoring system.

We will now look at the first IoT project, the Smart mirrors. Smart mirrors are a very cool IoT application. It can be used to display the temperature, news, weather, calendar, clock, and compliments on a mirror. Apart from these, smart mirrors can be used for the following.

Click the perfect selfies with a built-in camera.
Installed with speakers to play some music and provide on-demand workout sessions from world-class trainers.
Browse the internet, make phone calls, and even be connected with other devices for collaboration.

The next internet of things project is the Smart Money Transfer. We’re heading towards complete digitization. Transactions are made possible on your cell phone with apps like Apple pay, Google Pay, and Paypal. But imagine if you could walk to a store and pay with a wristwatch? Wouldn’t that be cool?

Some of its key features are as follows.

Provides a comfortable and reliable platform for money transactions.
It is compact, wearable, and rechargeable.
For safety purposes, user authenticity is validated.
This technology can reduce the burden of mobile money transfers.
When you’re on the go, you could easily step into a store, purchase the goods and pay hassle-free.
After every successful transaction, the balance is updated immediately to avoid any uncertainty.

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IoT based Smart Arm

This IoT project includes creating a robotic arm that can pick and place things from one place to another. To control this action, the robotic arm can be moved using specific commands. Some advanced arms allow the user to change the end effect of the arm to perform various actions. It can be used to make art, print 3D images, and build production lines. It can also be used to perform your day to day chores.

The next IoT project is smart irrigation. With the change in climate and recurrent water crisis, farmers suffer a great deal with growing crops. Smart irrigation puts an end to this ordeal. This system comes with a9 moisture sensor that checks the soil for its water content. When the soil moisture drops below a specific value, the system triggers the water supply.

As the name suggests, this IoT project aims at creating smart doors that control the entry and exit of humans. These doors open and close automatically when you pass by. The door can also be controlled remotely. You could unlock the door for perhaps a friend, by tapping an icon on your smartphone. Once they exit, you’re immediately notified. The owner can also choose who has access to the door.

The next internet of things project is the air monitoring system. Air monitoring has become crucial for the environment, and what better way to do it than incorporating IoT. The IoT system uses air sensors to sense the presence of harmful gases/compounds in the air. The data collected can be used by the local authorities to make a detailed analysis. Necessary actions can be taken to ensure that the air quality levels don’t reach an extreme low, especially in areas around hospitals and schools.

The next internet of things project is the smart alarm clock. There are many variations of a smart alarm clock, but the alarm we are talking about is a self-setting alarm clock. This smart alarm clock uses your Google calendar appointments to set alarm times. It can also procure data from GPS about your ETA to a place and the weather app to automatically adjust your wake time.

We will now look at the next internet of things project.

IoT Based Weather Reporting System

The system deals with monitoring weather and climate changes like humidity, temperature, moisture, wind speed, UV radiation, light intensity, and even carbon monoxide levels in the air; using multiple sensors.

These installed sensors send the data to the web page that is plotted as graphical statistics.
The project even consists of an application that sends notifications as an effective alert system to warn people about sudden and drastic weather changes.
If you’re heading out, the app could quickly tell you what the weather will be like and suggest carrying an umbrella or perhaps a sunblock.

The next IoT project is the smart wheelchair. There are over 132 million wheelchair users across the globe. Smart wheelchairs are an excellent innovation. Typically it comes with built-in sensors on the seats that collect data every second. The data provides insight into the patient's seating behavior and the energy required to maintain the posture. Other variations of the smart wheelchairs could include fall detection. These features allow people to monitor the patient from a remote location.

We will now look at the next IoT project, smart street light system.

This IoT-based street light monitoring system monitors and ensures low power consumption and detects faulty lights.
The street lights have external sensing that automatically turns on at the desired intensity based on the lighting needed.
Control of light intensity is based on the movement of people or vehicles.
In case of emergency, the lights increase the brightness to maximum intensity thereby ensuring safety.
When deployed as a part of a smart city, the users can be informed about any outages. They can also register a complaint about immediate service.

The smart agriculture system is one of the best IoT project ideas for students. This project aims to develop an advanced agricultural system to automate and monitor various farming tasks. For example, the system can be programmed to automatically irrigate a piece of land, spray fertilizers or pesticides on crops wirelessly, and monitor soil moisture through a moisture-sensing system. With such an advanced system, farmers can focus on manual-intensive tasks and increase productivity. Learners can also implement a similar IoT project to monitor house gardens or indoor plants.

The smart agriculture system offers several benefits, including real-time updates, increased productivity, remote management, timely monitoring, a data-centric approach, reduced operational costs, time efficiency, ease of use, and accuracy.

Smart agriculture involves several key factors, such as smart contracts, supply chain management , analytics, soil and climate monitoring, sensors, research, and storage. These factors improve transparency and efficiency in transactions, optimize farming practices, and ensure optimal crop growth conditions.

The home automation system is a popular IoT project that aims to automate household appliances and objects over the internet. With a touch-based interface, the project uses a Wi-Fi connection, a microcontroller, and inbuilt touch-sensing input pins to remotely control and manage household appliances. The microcontroller is integrated with the Wi-Fi modem to receive commands from the user via the internet. In addition, the system status is displayed on an LCD screen for easy monitoring.

A home automation system offers several benefits, including energy efficiency, convenience, and cost-effectiveness. It provides users remote access to control home appliances and monitor energy usage. In addition, it allows for centralized management, customisation, and constant monitoring.

In-demand Skills:

Students can learn programming, electronics, and IoT skills for home automation projects. You can also learn about smart contracts, blockchain, and cloud computing.

Face recognition bot is an Artificial Intelligence (AI) and Computer Vision-based project that uses deep learning algorithms to identify and recognise human faces. This project uses a camera to capture images, which an AI model then processes to detect faces and match them with existing images in the database. The face recognition bot is designed to work in real-time, making it ideal for security purposes, attendance management, and other applications that require fast and accurate identification of individuals.

Key Components:

Deep learning algorithms
Increased security and safety
Efficient attendance management
Accurate identification of individuals
Timesaving and convenience
Reduces human error

Applications:

Security systems
Attendance management systems
Public safety and law enforcement
Access control systems
Personalized marketing and customer experience
Computer vision
Deep learning
Python programming
Image processing
Data analysis

The air pollution monitoring system is an IoT-based project that measures air quality in real-time. This system consists of sensors that detect and measure different pollutants in the air, such as particulate matter, carbon monoxide, and nitrogen dioxide. The data collected by the sensors is sent to a central database, which users can access and analyze in real-time.

These are some of the advantages of this system:

Timely monitoring of air quality.
Data-centric analysis of pollution levels.
Accurate measurement of different pollutants.

Components:

The main components of the air pollution monitoring system include sensors, a microcontroller, and a database. The sensors detect and measure different pollutants in the air while the microcontroller collects and sends this data to the database for analysis. Users can access the database through a web or mobile application to monitor air quality in real time.

The air pollution monitoring system can be used in various applications, such as industrial settings, smart cities, and residential areas. It can help authorities to monitor air pollution levels in real time and take necessary measures to reduce pollution. Individuals can also use it to monitor air quality in their homes, workplaces, and communities.

One of the most significant problems faced by urban areas is parking management. A smart parking system is an IoT-based project that can efficiently manage parking spaces and improve traffic flow. It utilizes sensors, cameras, and other IoT devices to gather data and manage parking spots, providing real-time information to drivers.

The benefits of a smart parking system include efficient use of parking spaces, reduced congestion and pollution, improved safety, and reduced operational costs. It can also save drivers time and provide a better parking experience.

The smart parking system employs various sensors such as ultrasonic, magnetic, or camera-based to detect the availability of parking spaces. These sensors send the data to a central server that uses machine learning algorithms to analyze and optimize the available parking spots. Drivers can access this information through a mobile app that provides real-time updates on parking availability, location, and pricing.

The critical factors of a smart parking system include data analysis, real-time updates, user experience, smart sensors, and machine learning. Integrating these factors helps provide an efficient parking system that can enhance the overall parking experience for drivers.

Smart cradle system is an innovative IoT-based project that aims to provide a more efficient and effective way to care for infants. This system utilizes various IoT components, such as sensors and microcontrollers, to monitor and control the infant's environment. For example, it can scan the baby's temperature, humidity, and movements and alert the parents or caretakers in case of abnormalities. The system can also provide soothing sounds and vibrations to help the baby fall asleep.

The smart cradle system can benefit the baby and the parents/caretakers. It can ensure the baby's safety and comfort by constantly monitoring and regulating the environment. The system can also reduce the stress and workload for the parents/caretakers by providing automated functions, such as sleep-inducing sounds and movements. In addition, the system can improve sleep quality for both the baby and the parents/caretakers.

The smart cradle system has various features, making it an efficient and user-friendly IoT-based project. It includes sensors to monitor the baby's temperature, humidity, movements and microcontrollers to process and analyze the data. The system can also generate soothing sounds and vibrations to help the baby sleep. Additionally, the system can be controlled remotely via a smartphone application, providing convenience and flexibility for the parents/caretakers.

The smart cradle system can be used in various settings, such as homes, daycares, and hospitals. It can provide a safe and comfortable environment for infants, ensuring their well-being and reducing the workload of the parents/caretakers. The system can also be customized to meet the specific needs of the users.

Gas leakage is a significant concern and can lead to harmful and sometimes fatal consequences. The Smart Gas Leakage Detector Bot is an Internet of Things (IoT) based project that detects gas leaks and alerts users. The project uses a gas sensor that detects gas leakage and triggers an alarm. The bot can also be programmed to turn off the gas valve automatically to prevent further leakage and reduce the risk of an explosion. This project is instrumental in homes, industries, and laboratories where gas leaks can occur.

The Smart Gas Leakage Detector Bot is an efficient way to detect and prevent gas leaks. It helps to keep the environment safe and reduces the risk of harm or injury. The benefits of this project include real-time gas detection, remote monitoring, automatic gas valve control, and easy installation. It can also save lives, prevent property damage, and reduce the cost of repair.

The Smart Gas Leakage Detector Bot uses a gas sensor, a microcontroller, a Wi-Fi module, and a motorized valve. The gas sensor detects the gas leakage and sends a signal to the microcontroller, which processes the data and triggers an alarm. The Wi-Fi module allows for remote monitoring and control, while the motorized valve automatically shuts off the gas valve.

The Smart Gas Leakage Detector Bot can be used in various applications, including homes, industries, and laboratories. It is beneficial in areas where gas leaks can occur, such as near gas pipelines, gas storage tanks, and gas-powered appliances. The bot can also be integrated with a smart home system for more efficient management.

A liquid level monitoring system is an IoT-based project that allows users to remotely monitor the liquid level in a container. This system is beneficial in industries where liquids are stored in large containers or tanks, such as chemical plants or oil refineries. The system uses ultrasonic sensors to measure the liquid level and transmit the data to a microcontroller. The microcontroller processes the data and sends it to a web server via the internet. Users can then access the data from a web browser or mobile app and receive real-time updates on the liquid level.

The benefits of a liquid-level monitoring system include increased efficiency, cost-effectiveness, and improved safety. By monitoring the liquid level in a container, users can avoid overfilling or underfilling, which can result in costly spills or damage to equipment. The system can also track liquid usage, enabling users to optimize their processes and reduce waste. Additionally, the system can provide early warning of leaks or other issues, allowing for timely intervention and improved safety.

The components of a liquid-level monitoring system include:

Ultrasonic sensors.
A microcontroller.
A Wi-Fi or Ethernet module.
A web server or cloud platform.

Liquid-level monitoring systems have applications in various industries, including chemical plants, oil refineries, water treatment plants, and food and beverage manufacturing. They can monitor the level of chemicals, oil, water, or other liquids in large containers or tanks. The systems can also be integrated with other IoT devices or methods, such as industrial automation or predictive maintenance, to improve overall efficiency and productivity.

The Night Patrol Robot project involves designing and building a robot that can monitor a specific area or location during the night. This IoT-based robot can detect and report suspicious activity or movement and even alert the authorities if necessary.

The robot uses sensors, cameras, and an IoT communication system to monitor and report unusual activity. It can also move autonomously and efficiently, covering a large area. In addition, the robot can be controlled remotely through a smartphone or computer, providing real-time video and audio feed to the user.

The benefits of the Night Patrol Robot project include increased security and safety in areas that are vulnerable to crime or other threats. It also offers a cost-effective and efficient solution for nighttime surveillance, eliminating the need for human patrols.

Healthcare is one of the most promising applications of the Internet of Things (IoT). The Health Monitoring System is a cutting-edge IoT-based project that allows healthcare professionals to monitor and manage patient health remotely. The project uses sensors and wearable devices to collect real-time vital health data transmitted to healthcare providers online.

The components of the Health Monitoring System include wearable devices, sensors, data processing units, and a cloud-based data storage and management system. The wearable devices have sensors that collect health data, including heart rate, blood pressure, oxygen levels, and temperature. The data is then processed by a data processing unit and transmitted to a cloud-based data storage and management system.

The Health Monitoring System offers many benefits to patients and healthcare providers alike. It allows real-time patient health monitoring, enabling healthcare providers to intervene quickly in a health emergency. It also improves the efficiency of healthcare delivery by reducing the need for in-person consultations and enabling remote consultations. Patients can also benefit from personalized healthcare, as the system can provide tailored healthcare recommendations based on individual health data.

The Health Monitoring System can be used in various healthcare applications, including remote patient monitoring, chronic disease management, and elderly care.

We hope this article on IoT Projects gave you an insight into the possible innovations with IoT. If you wish to learn IoT and perhaps make a career out of it, then the Full Stack Java Developer will come in handy.

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IoT for Good

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