ELEC5514: Networked Embedded Systems (2020 - Semester 2)

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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: Dr Lin, Zihuai
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit aim to teach the fundamentals concepts associated with:

• Networked Embedded Systems, wireless sensor networks

• Wireless channel propagation and radio power consumption

• Wireless networks, ZigBee, Bluetooth, etc.

• Sensor principle, data fusion, source detection and identification

• Multiple source detection, multiple access communications.

• Network topology, routing, network information theory

• Distributed source channel coding for sensor networks

• Power-aware and energy-aware communication protocols.

• Distributed embedded systems problems such as time synchronization and node localization,

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 analyze 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 OR ELEC9305) AND (ELEC3506 OR ELEC9506) AND (ELEC3607 OR ELEC9607) AND (ELEC4505 OR ELEC9515) 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 1 13
2 Laboratory 2.00 1 11
3 Tutorial 1.00 1 11

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.

(2) Engineering/ IT Specialisation (Level 4)
5. Demonstrate an understanding of topics in wireless sensor networks using principles developed.
6. Proficiency in assessing and debugging wireless sensor networks and other system problems, using concepts and techniques developed throughout the course.
(4) Design (Level 4)
4. Design a small scale wireless network using a systematic approach based on knowledge acquired and with the purpose of solving a clearly defined problem.
(6) Communication and Inquiry/ Research (Level 2)
1. 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.
2. Write reports and make presentations to deliver technical and often complex material in clear and concise terms on specific engineering topics.
(7) Project and Team Skills (Level 2)
3. 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 Assignment No 10.00 Week 13 2, 3, 5, 6,
2 Lab Work Yes 35.00 Multiple Weeks 2, 3, 4, 5, 6,
3 Final Exam No 55.00 Exam Period 1, 2, 5, 6,
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: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
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

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
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: Assignment
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, 2026
Advanced Computing / Science (Medical Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Advanced Computing / Commerce 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Computational Data Science) - Mid-Year 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Computer Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Cybersecurity) 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Computer Science) - Mid-Year 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Advanced Computing (Cybersecurity) - Mid-Year 2021, 2022, 2023, 2024, 2025, 2026
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, 2026
Bachelor of Advanced Computing (Software Development) - Mid-Year 2021, 2022, 2023, 2024, 2025, 2026
Bachelor of Computer Science and Technology (Honours) 2015, 2016, 2017
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, 2026
Electrical Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Electrical / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Arts 2023+ 2023, 2024, 2025, 2026
Electrical / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Commerce 2023+ 2023, 2024, 2025, 2026
Electrical / Commerce 2023+ (mid-year) 2025, 2026
Electrical / Project Management 2016, 2017, 2018
Electrical / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Electrical / Science - Mid Year 2023, 2024, 2025, 2026
Electrical / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Law 2023+ 2023, 2024, 2025, 2026
Electrical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Arts 2023+ 2023, 2024, 2025, 2026
Software / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Commerce 2023+ 2023, 2024, 2025, 2026
Software / Commerce 2023+ (mid-year) 2025, 2026
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Science (Health) 2018, 2019, 2020, 2021, 2022, 2026
Software / Science - Mid Year 2023, 2024, 2025, 2026
Software / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Law 2023+ 2023, 2024, 2025, 2026
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, 2026
Graduate Diploma in Cybersecurity 2023, 2024, 2025, 2026
Graduate Diploma in Data Science 2023, 2024, 2025, 2026
Graduate Diploma in Information Technology 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2026
Master of Computer Science (advanced entry) (Capstone Pathway) 2024, 2025, 2026
Master of Computer Science (advanced entry) (Research Pathway) 2024, 2025, 2026
Master of Computer Science (advanced entry) (Work Integrated Pathway) 2024, 2025, 2026
Master of Computer Science (Capstone Pathway) 2024, 2025, 2026
Master of Computer Science (Work Integrated Pathway) 2024, 2025, 2026
Master of Cybersecurity 2023, 2024, 2025, 2026
Master of Data Science 2023, 2024, 2025, 2026
Master of Engineering (Advanced Manufacturing) 2025+ 2025, 2026
Master of Engineering (Biomedical Engineering) 2025+ 2025, 2026
Master of Engineering (Chemical & Biomolecular Engineering) 2025+ 2025, 2026
Master of Engineering (Civil Engineering) 2025+ 2025, 2026
Master of Engineering (Electrical Engineering) 2025+ 2025, 2026
Master of Engineering (Mechanical Engineering) 2025+ 2025, 2026
Master of Engineering (2024 and earlier) 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024
Master of Engineering (Software Engineering) 2025+ 2025, 2026
Master of Engineering (Sustainability & Environmental Engineering) 2025+ 2025, 2026
Master of Information Technology 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2026
Master of IT / Master of IT Management 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2026
Master of Professional Engineering (Accelerated) (Electrical) 2019, 2020, 2021, 2022, 2023, 2024, 2026
Master of Professional Engineering (Accelerated) (Electrical) 2025+ 2025, 2026, 2025, 2026
Master of Professional Engineering (Accelerated) (Power) 2019, 2020, 2021, 2022, 2023, 2024, 2026
Master of Professional Engineering (Accelerated) (Telecommunications) 2019, 2020, 2021, 2022, 2023, 2024, 2026
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, 2026, 2025, 2026
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, 2026

Course Goals

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

Attribute Practiced Assessed
(1) Maths/ Science Methods and Tools (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 46.5%
(3) Problem Solving and Inventiveness (Level 4) No 0%
(4) Design (Level 4) No 7%
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) No 0%
(6) Communication and Inquiry/ Research (Level 2) No 37%
(7) Project and Team Skills (Level 2) No 9.5%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.