Note: This unit is an archived version! See Overview tab for delivered versions.

ELEC5514: Networked Embedded Systems (2010 - Semester 2)

Download UoS Outline

Unit: ELEC5514: IoT Wireless Sensing and Networking (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Computer Engineering
Unit Coordinator/s: Professor Vucetic, Branka
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: http://www.eelab.usyd.edu.au/ELEC5514/course-outline.htm
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit aim to teach the fundamentals concepts associated with:

Embedded systems programming, real-time operating systems

Wireless channel propagation and radio power consumption

Power-aware and energy-aware communication protocols

Distributed embedded systems problems such as time synchronization and node localization

Programming of networked embedded systems

Exposure to several recently developed solutions to address problems in wireless sensor networks and ubiquitous computing giving them a well-rounded view of the state-of the-art in the networked embedded systems field.

Student involvement with projects will expose them to the usage of simulators and/or programming some types of networked embedded systems platforms.

Ability to identify the main issues and trade-offs in networked embedded systems.

Understanding of the state-of-the-art solutions in the area

Based on the above understanding, ability to analyse requirements and devise first-order solutions for particular networked embedded systems problems.

Familiarization with a simulator platform and real hardware platforms for network embedded systems through the students involvement in projects.
Assumed Knowledge: ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508.
Lecturer/s: Dr Lin, Zihuai
Timetable: ELEC5514 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 13
2 Laboratory 2.00 13

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
This is an ability to apply learned knowledge on the science and engineering problem. The students are required to select the research projects and research topics among several given topics and learn how to solve the problems by themselves. Design and Problem Solving Skills (Level 4)
This is an ability to understand the principles of the wireless sensor networks and network embedded systems. Discipline Specific Expertise (Level 5)
The course requires intensive research for both the project and the home assignment. The students need to obtain comprehensive information from various source in order to perform well. Information Skills (Level 2)
Home assignment requires students to write a report on some specific topics in the field of wireless sensor network, Students need to write clearly, accurate and convincingly. Project report is also needed to access the project work, Each project team is also required to give an oral presentation of the project at the end of semester. Professional Communication (Level 2)
Both the home assignment and the projects are group based work. The students are required to work in a group. Teamwork and Project Management (Level 2)

For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design and Problem Solving Skills (Level 4)
1. Ability to design a small scale wireless network using a systematic approach based on knowledge acquired and with the purpose of solving a clearly defined problem.
Discipline Specific Expertise (Level 5)
2. Ability to demonstrate an understanding of topics in wireless sensor networks using principles developed.
3. Proficiency in assessing and debugging wireless sensor networks and other system problems, using concepts and techniques developed throughout the course.
Information Skills (Level 2)
4. Proficiency in undertaking knowledge development, drawing on various sources and demonstrating the capacity to synthesise complex and at times contradictory information for the specific engineering projects assigned.
Professional Communication (Level 2)
5. Ability to write reports and make presentations to deliver technical and often complex material in clear and concise terms on specific engineering topics.
Teamwork and Project Management (Level 2)
6. Ability to assume diverse team roles with the purpose of working with a research paper on a specific topic in a group. Hence the ability to exercise leadership, negotiation and receptiveness skills as a means to better draw out the knowledge and ability of other team members concomitant to one's own input.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Presentation/Seminar No 0.00 Multiple Weeks 2, 3,
2 Assignment Yes 20.00 Week 7 2, 3, 5, 6,
3 Project Yes 40.00 Week 13 1, 4,
4 Final Exam No 40.00 Exam Period 2, 3, 4, 5,
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: The faculty attempts to maintain consistency and quality in its T&L operations by adhering to Academic Board policy. These policies can be found on the Central Policy Online site. A brief summary of the relevant T&L policies that should be referred to while filling in these forms can be found at the Faculty of Engineering and Information Technologies Policy Page.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
  • Principle of Embedded Network Design
Online Course Content: http://www.eelab.usyd.edu.au/ELEC5514/course-outline.htm

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction in Networked Embedded Systems What is a NES? Examples and applications
Week 2 Network embedded systems: fundmental
Week 3 Sensor principle plus digital communications
Week 4 Digital Comm., bluetooth, ZigBee
Week 5 Networking
Week 6 Distributed source coding for wireless sensor network
Week 7 MAC issues with Wireless Sensor Networks
Assessment Due: Assignment
Week 8 MAC issues with Body Area Netowrks
Week 9 Routing for Wireless sensor Networks
Week 10 Programming NES. Programming paradigms, challenges
Week 11 Node architecture and generic problems in WSN
Week 12 synchronization
localization and time
Week 13 Course review
Assessment Due: Project
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Advanced Computing / Science 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Advanced Computing / Science (Medical Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Advanced Computing / Commerce 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computer Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Cybersecurity) 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computer Science) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Cybersecurity) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Information Systems) (not offered from 2022+) 2018, 2019, 2020, 2021
Bachelor of Advanced Computing (Software Development) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Software Development) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Computer Science and Technology (Honours) 2015, 2016, 2017, 2025
Biomedical Engineering / Law 2013, 2014
Biomedical Engineering / Arts 2013, 2014
Biomedical Engineering / Commerce 2013, 2014
Biomedical Engineering / Medical Science 2013, 2014
Biomedical Engineering / Science 2013, 2014
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2012
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2012, 2013, 2014, 2011
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2012, 2013, 2014
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Biomedical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020
Biomedical / Project Management 2019+ 2019, 2020
Biomedical Engineering 2016, 2017, 2018, 2019, 2020
Biomedical / Arts (2022 and earlier) 2015, 2016, 2017, 2018, 2019, 2020
Biomedical / Commerce 2015, 2016, 2017, 2018, 2019, 2020
Biomedical /Science 2015, 2016, 2017, 2018, 2019, 2020
Biomedical / Science (Health) 2018, 2019, 2020
Biomedical / Law 2015, 2016, 2017, 2018, 2019, 2020
Electrical / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Arts 2023+ 2023, 2024, 2025
Electrical / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Commerce 2023+ 2023, 2024, 2025
Electrical / Commerce 2023+ (mid-year) 2025
Electrical / Project Management 2016, 2017, 2018
Electrical / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical / Science - Mid Year 2023, 2024, 2025
Electrical / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Law 2023+ 2023, 2024, 2025
Electrical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Arts 2023+ 2023, 2024, 2025
Software / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Commerce 2023+ 2023, 2024, 2025
Software / Commerce 2023+ (mid-year) 2025
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Science (Health) 2018, 2019, 2020, 2021, 2022
Software / Science - Mid Year 2023, 2024, 2025
Software / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Law 2023+ 2023, 2024, 2025
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Biomedical / Science (Medical Science Stream) 2018, 2019, 2020
Graduate Diploma in Computer Science 2024, 2025
Graduate Diploma in Cybersecurity 2023, 2024, 2025
Graduate Diploma in Data Science 2023, 2024, 2025
Graduate Diploma in Information Technology 2017, 2018, 2019, 2020, 2021, 2022, 2023
Master of Computer Science (advanced entry) (Capstone Pathway) 2024, 2025
Master of Computer Science (advanced entry) (Research Pathway) 2024, 2025
Master of Computer Science (advanced entry) (Work Integrated Pathway) 2024, 2025
Master of Computer Science (Capstone Pathway) 2024, 2025
Master of Computer Science (Work Integrated Pathway) 2024, 2025
Master of Cybersecurity 2023, 2024, 2025
Master of Data Science 2023, 2024, 2025
Master of Engineering (Advanced Manufacturing) 2025+ 2025
Master of Engineering (Biomedical Engineering) 2025+ 2025
Master of Engineering (Chemical & Biomolecular Engineering) 2025+ 2025
Master of Engineering (Civil Engineering) 2025+ 2025
Master of Engineering (Electrical Engineering) 2025+ 2025
Master of Engineering (Mechanical Engineering) 2025+ 2025
Master of Engineering (2024 and earlier) 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
Master of Engineering (Software Engineering) 2025+ 2025
Master of Engineering (Sustainability & Environmental Engineering) 2025+ 2025
Master of Information Technology 2017, 2018, 2019, 2020, 2021, 2022, 2023
Master of IT / Master of IT Management 2017, 2018, 2019, 2020, 2021, 2022, 2023
Master of Professional Engineering (Accelerated) (Electrical) 2019, 2020, 2021, 2022, 2023, 2024
Master of Professional Engineering (Accelerated) (Electrical) 2025+ 2025, 2025
Master of Professional Engineering (Accelerated) (Power) 2019, 2020, 2021, 2022, 2023, 2024
Master of Professional Engineering (Accelerated) (Telecommunications) 2019, 2020, 2021, 2022, 2023, 2024
Master of Professional Engineering (Electrical) 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
Master of Professional Engineering (Electrical) 2025+ 2025, 2025
Master of Professional Engineering (Power) 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
Master of Professional Engineering (Telecommunications) 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
Software / Science (Medical Science Stream) 2018, 2019, 2020, 2021, 2022
Computer Engineering / Commerce 2010
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Master of Computer Science (Research Pathway) 2024, 2025

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design and Problem Solving Skills (Level 4) Yes 20%
Discipline Specific Expertise (Level 5) Yes 30%
Fundamentals of Science and Engineering (Level 3) No 0%
Information Skills (Level 2) Yes 30%
Professional Communication (Level 2) Yes 15%
Professional Values, Judgement and Conduct (Level 2) No 0%
Teamwork and Project Management (Level 2) Yes 5%

These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.