Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer
Dr. Yan Li
Contact via +61 2 9850 9577
Room 353, 4 Research Park Drive
By Appointment
Lecturer
Dr. Adnan Mahmood
Contact via +61 2 9850 9079
Room 286, 4 Research Park Drive
By Appointment
|
---|---|
Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
This unit aims to provide a solid theoretical and practical understanding of wireless sensor networks (WSN), and cloud and edge technologies that augment the capabilities of such networks from an IoT context. This unit will provide a detailed understanding of WSN sensor communication architecture and technology, and will examine routing, power management, and security protocols that have been specifically designed for WSNs. The unit will further examine cloud, edge, and cellular technologies and investigate solutions that facilitate the convergence of cloud computing with IoT to create a mobile ecosystem that facilitates monitoring, data gathering, and enhanced connectivity. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
The Special Consideration Policy aims to support Students who have been impacted by short-term circumstances or events that are serious, unavoidable, and significantly disruptive, and which may affect their performance in an Assessment. If a Student experiences circumstances or events which affect their ability to complete the Assessments in this Unit on time, they should inform the Unit Convenor and subsequently submit a Special Consideration Request through AskMQ.
From 1 July 2022, students enrolled in Session based units with written assessments will have the following late penalty applied. Please see https://students.mq.edu.au/study/assessment-exams/assessments for more information.
Unless a Special Consideration Request has been submitted and approved, a 5% Penalty (of the Total Possible Marks of an Assessment) would be applied for each day an Assessment has not been submitted, i.e., up until the 7th day (including the weekends). Subsequent to the 7th day, a Grade of ‘0’ would be awarded even if the Assessment is submitted. The submission time for all uploaded Assessments is 11:55 PM. A 1-hour grace period would be provided to Students who experience a technical concern.
For any late submission of the time-sensitive tasks, such as scheduled Individual Presentation and scheduled Workshop-based Tasks in the context of this particular Unit, please apply for Special Consideration.
In this unit, late submissions will be accepted for the following assessment tasks:
It goes without saying, but we'll say it anyway, that there are no recorded lectures for you to use if you miss things. The unit has lectures, but the unit is about you, group discussion with your peers and your participation is essential for success.
To pass this unit you must:
There are no hurdles in this unit.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Workshop-based Tasks | 10% | No | Weeks 2 - 10 |
Literature Review | 20% | No | Week 6 |
Assignment 3 | 30% | No | Week 11 |
Final Exam | 40% | No | S1 Exam Period |
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 10 hours
Due: Weeks 2 - 10
Weighting: 10%
Workshops offer Students an opportunity to learn and subsequently practice via Hands-on Activities in a Lab Setting under the supervision of a Lab Supervisor/Instructor. They further allow the Students to discuss the problems effectively with their Peers and maximize the Feedback they get on their work.
Assessment Type 1: Literature review
Indicative Time on Task 2: 25 hours
Due: Week 6
Weighting: 20%
Students will critically analyze relevant state-of-the-art Research Literature pertinent to the Discipline to present succinct arguments and conclusions in a highly systematic manner.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 25 hours
Due: Week 11
Weighting: 30%
Students will Design, Implement, and subsequently Test a Real-world Cloud-based IoT Scenario using various tools.
Assessment Type 1: Examination
Indicative Time on Task 2: 40 hours
Due: S1 Exam Period
Weighting: 40%
A Final Exam assessing the Students' overall mastery of the Unit's Content.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Live (In-person) Lecture Sessions will be held from Week 1- 13, and would provide an opportunity for students to ask questions pertinent to the weekly topics and to clarify anything that they might not be sure of. The on-campus Lecture Sessions encourage students to engage in a number of brainstorming activities, group discussion and, therefore, participation in these lecture sessions is of the essence and highly recommended.
While weekly lecture notes will be provided, students are urged to view them as a guide rather than a substitute for personal notes or the recommended reading list. Active engagement with the material is encouraged, supplementing understanding through provided lecture notes, personal notes, and suggested readings. This proactive approach is crucial for a robust comprehension of the syllabus topics and contributes to an enriched learning experience in sensor networks, cloud and edge computing in IoT.
Workshops (In-person) commence from Week 2 and would offer Students an opportunity to learn, develop, and subsequently practice concepts pertinent to the Unit's Content via Hands-on Tasks in a Lab Setting under the Supervision of the Lecturer/ Demonstrator.
This workshop component contributes 10% to the overall score, with each meeting assigned a value of 1 marks, making a maximum of 10 marks for the entire workshop.
Each week you will be given a number of problems to work on; it is important that you keep up with these problems as doing so will help you understand the material in the unit and prepare you for the work in assignments. Workshops would also facilitate Students to discuss their respective Problems effectively with the Peers and maximize the Feedback they get on their Work.
Please note that Assessment 3 – Major Project depends, to a considerable extent, on the Learnings embedded in the Workshop Sessions. Therefore, participation in these Sessions is critical to success in this Unit.
Assignments will be made available on iLearn and would be submitted via Turnitin where students can see Turnitin similarity reports.
Please be aware that there isn't a single textbook covering all the content for this unit. However, your lecturer will provide comprehensive reading materials and detailed notes corresponding to each week's lecture topics. These resources will be provided every week for your convenience.
The Unit's Content has been drawn from the Research Papers, White Papers, and Standards' Documents. Students are, therefore, highly encouraged to read the recommended respective Weekly Reading List in a bid to gain a solid understanding of the Weekly Topics.
The Unit Convenor / Lecturer will communicate with the Students via their respective Macquarie University's Email or through Announcements on iLearn. Queries may either be placed on the iLearn Discussion Board or could be sent to the unit convenor via the contact email on iLearn.
For latest information on the University’s response to COVID-19, please refer to the Coronavirus Infection Page on the Macquarie University's website. Remember to check this Page regularly in case the information and requirements change during Semester 1, 2024. If there are any changes to this Unit in relation to COVID, these will be communicated via iLearn.
Week No. |
Lecture / Activity |
Assessment Timelines |
Week 1 |
The Internet of Things (IoT) |
|
Week 2 |
Cloud, Fog, and Edge Computing – Part I |
|
Week 3 | Cloud, Fog, and Edge Computing – Part II | |
Week 4 |
IoT Security – A Case Study |
|
Week 5 |
IoT Project Management |
|
Week 6 |
Cellular IoT |
Assignment 2: Literature Review – Due Week 6 |
Week 7 |
Introduction to Sensor Network: Motivation & Applications |
|
Week 8 | Introduction to Sensor Network: Architecture & Protocol Stack | |
Week 9 |
Routing Protocols in Sensor Networks |
|
Week 10 |
Localization Techniques in Wireless Sensor Networks |
|
Week 11/12 | Presentation/Guest Lecture | Assignment 3: Major Project – Due Week 11 |
Week 13 | Unit Review |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2024.04 of the Handbook