6COM2008 Internet of Things 2024/25R

Java Python Assignment Briefing Sheet (2024/25 Academic Year)

Section A: Assignment title, important dates and weighting

Assignment title: 6COM2008 Coursework

Group or individual: Individual

Module title: Internet of Things

Module code: 6COM2008

Section B: Student(s) to complete

Notes for students

•     For undergraduate modules, a score of 40% or above represents a pass performance at honours level.

•     For postgraduate modules, a score of 50% or above represents a pass mark.

•     Late submission of any item of coursework for each day or part thereof (or for hard copy

submission only, working day or part thereof) for up to five days after the published deadline,

coursework relating to modules at Levels 0, 4, 5, 6 submitted late (including deferred

coursework, but with the exception of referred coursework), will have the numeric grade

reduced by 10 grade points until or unless the numeric grade reaches or is 40. Where the

numeric grade awarded for the assessment is less than 40, no lateness penalty will be applied.

•     Late submission of referred coursework will automatically be awarded a grade of zero (0).

•     Coursework (including deferred coursework) submitted later than five days (five working days in the case of hard copy submission) after the published deadline will be awarded a grade of zero (0).

•     Regulations governing assessment offences including Plagiarism and Collusion are available

fromhttps://www.herts.ac.uk/about-us/governance/university-policies-and-regulations-uprs/uprs (please refer to UPR AS14)

•     Guidance on avoiding plagiarism can be found here:

https://herts.instructure.com/courses/61421/pages/referencing-avoiding- plagiarism?module_item_id=779436

• Modules may have several components of assessment and may require a pass in all elements.

For further details, please consult the relevant Module Handbook (available on Studynet/Canvas, under Module Information) or ask the Module Leader.

This Assignment assesses the following module Learning Outcomes (from Definitive Module Document):

Successful students will typically:

Demonstrate knowledge and a critical understanding of the principles (standards, architectures and interoperability) of loT.

Demonstrate knowledge and understanding of the policies and regulations relating to the loT.

Demonstrate knowledge and understanding of data security, privacy and trust requirements of loT devices and networks and be aware of solutions.

Be able to design, configure and use loT networks, such as LoRaWAN.

Be able to design and programme for the Web of Things.

Be able to implement controls to secure an loT infrastructure.

Assignment Brief:

Please see the attached file

Submission Requirements:

Please submit the following components via StudyNet module website.

• Report. You are required to submit the report via StudyNet in a PDF format using your student number as the filename.

< 6COM2008 Internet of Things 2024/25R p> The final report structure is expected:

1. Report – Must have the code you used in the Appendix. Report must be in a word format.

2. ZIP folder

a. IoT Sensor Sender code

b. IoT Receiver code

c.Screenshots /MISC

Marks awarded for:

Please see the attached file

Type of Feedback to be given for this assignment:

Formative feedback will be given for the coursework during the scheduled sessions as per the module delivery plan. Individual personalised summative feedback will be given through StudyNet for the final submission. Feedback is not just the marks and the commentary at the end of the module – it is also the regular advice about your work as you undertake the practical activities. If you fail to undertake the practical activities and you fail to engage with the class and with the instructors, you will disadvantage yourself.

School of Physics, Engineering and Computer Science 6COM2008 - Internet of Things

ASSIGNMENT BRIEFING SHEET (2024/25 Academic Year) ANONYMOUS MARKING – INDIVIDUAL ASSIGNMENT

You have been hired to design, test, secure, and evaluate an IoT network for a new manufacturing plant aimed at designing and developing Integrated Circuits. The IoT network would ideally connect a clean room in the manufacturing plant to the head office. Due to the sensitivity of the experiments being conducted in the clean room, you have been tasked to create an IoT solution to protect the integrity of the experiment. The scenario can be explained in four tasks.

Task 1 Network Design

One Arduino MKR WAN 1310 will emulate the functionality of the “IoT sensor”, whilst the second will emulate the “IoT Receiver”. The network must adhere to the following requirements.

a.   “IoT sensor” must have the following capabilities.

i.   The device must be equipped with a DHT 22 module.

ii.   The device must be equipped with a MHR Sensor (TCRT5000).

iii.   The device must be equipped with an antenna that is capable of transmitting information.

iv.   The device must be compliant with LoRa WAN protocol.

b.   “IoT Receiver” must have the following capabilities.

i.   The device must be compliant with LoRa WAN protocol.

ii.   One L.E.D light (you may use the in-built L.E.D).

iii.   The device must be equipped with an antenna that can receive information.

Task 2 Configurations for the Sensor

“IoT sensor” must have the following configurations programmed.

a.   A DHT 22 sensor that collects both temperature and humidity.

b.  TCRT5000 MHR Sensor that is capable of detecting an intruder.

c.   A programmable clock in 24hr format to maintain the time of the day.

i.   When an intrusion is registered by the TCRT5000, the sensor must conduct the following.

1.   Register that an intrusion had occurred.

2.   Print the time it occurred.

3.   Print the temperature and the humidity.

4.   Encrypt the message using the given Key.

5.   Send the aforementioned (Time, Temperature, and humidity) to IoT Receiver.    (Note: Serial Monitor of the sender should not print anything if an intrusion had not been registered)

Task 3 Configurations for the Receiver

“IoT Receiver” must conduct the following to ensure that the communication is secure.

a.   A programmable clock to keep the time.

b.   Print the time every at every 1s interval and the message, “No Intrusion” .

c.   Ability to receive messages from the IoT Sensor.

i.   When a message is received, blink the L.E.D to alert the administrator.

d.   Use the given key to decrypt the messages sent by the IoT Sensor Sender. - You may use the XOR function to achieve decryption.

e.   Display the messages for the Administrator to view.

Task 4 Evaluation

1.    Explain the advantages and the disadvantages that LoRa WAN protocol provides for the above

scenario. Provide introductory information of LoRa, LoRa WAN, Arduino MKR WAN 1310, DHT22, and MHR Sensor TCRT5000.

2.    Provide a detailed discussion outlining the use of the above technologies or a sub-set of them, in an industry or an academic research project. You must provide citations to support claims.

3.    “NB IoT and 5G can be used to replace LoRa WAN protocol” . Provide an argument for this. You may accept or reject the hypothesis by providing an evaluation of the three communication protocols/methods for IoT. You must provide citations to support claims.

4.   What improvements would you suggest for the above scenario to protect the clean room from intruders. Provide an evaluation between your suggested approach against the existing system.

Report Structure and Academic Conventions

1.   Font size 12 with Normal margins under Layout. Harvard referencing style. must be used as per the

UH guidelines. (https://www.herts.ac.uk/__data/assets/pdf_file/0004/335173/Referencing- Guide.pdf).

2.   Submission type: MSWord (docx)

3.   Sample structure

Title Page

Contents Page

Abstract

Introduction

Experiments and Evidence for Establishing IoT in a Clean Room

Analysis

Conclusion

References

Appendix A: Sender Code

Appendix B: Receiver Code

Word count Excluding Title page, Contents page, References and Appendix: 3500 (+/- 10%)

Usage of AI-generated content for reports or code in this coursework is strictly prohibited. Any submission found to have employed such technologies will receive a mark of zero, and the matter will be referred to the academic misconduct board for further action.

Submission Checklist

1.   Report – Must have the code you used in the Appendix. Report must be in a word format.

2. ZIPfolder

a.   IoT Sensor Sender code

b.   IoT Receiver code

c         

【博士论文复现】【阻抗建模、验证扫频法】光伏并网逆变器扫频与稳定性分析(包含锁相环电流环)(Simulink仿真实现)内容概要:本文档是一份关于“光伏并网逆变器扫频与稳定性分析”的Simulink仿真实现资源,重点复现博士论文中的阻抗建模与扫频法验证过程,涵盖锁相环和电流环等关键控制环节。通过构建详细的逆变器模型,采用小信号扰动方法进行频域扫描,获取系统输出阻抗特性,并结合奈奎斯特稳定判据分析并网系统的稳定性,帮助深入理解光伏发电系统在弱电网条件下的动态行为与失稳机理。; 适合人群:具备电力电子、自动控制理论基础,熟悉Simulink仿真环境,从事新能源发电、微电网或电力系统稳定性研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①掌握光伏并网逆变器的阻抗建模方法;②学习基于扫频法的系统稳定性分析流程;③复现高水平学术论文中的关键技术环节,支撑科研项目或学位论文工作;④为实际工程中并网逆变器的稳定性问题提供仿真分析手段。; 阅读建议:建议读者结合相关理论教材与原始论文,逐步运行并调试提供的Simulink模型,重点关注锁相环与电流控制器参数对系统阻抗特性的影响,通过改变电网强度等条件观察系统稳定性变化,深化对阻抗分析法的理解与应用能力。
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