Syllabus
PROFESSIONAL ELECTIVES
Electives in Cyber Physical Systems
Unit I
Introduction to M2M, WSN, loT, CPS and Web of Things – loT definition – Characteristics – Things in loT – loT Complete Architectural Stack – loT enabling Technologies – loT Challenges – loT Levels – Industrial IoT – Case studies with architectural analysis: Smart City – Smart Water – Smart Agriculture – Smart Energy – Smart Healthcare – Smart Transportation – Connected Vehicles- Smart Retail -Smart waste management – Activity Monitoring.
Sensors and Hardware for loT – Accelerometer, Proximity Sensor, lR sensor, Gas Sensor, Temperature Sensor, Chemical Sensor, Motion Detection Sensor. Hardware Kits – Arduino, Raspberry Pi, Node MCU / ESP 32. A Case study with any one of the boards and data acquisition from sensors.
Unit II
Protocols for loT – Data Protocols: HTTP long polling, short polling, SSE, server push, CoAP, webSockets, MQTT, AQMP – infrastructure protocol (IPV4/V6|RPL) – service discovery and management- Identifier in IoT -Connectivity protocols: BLE, ZigBee, WiFi, NB-IoT, LoRa – Device Management Protocols: TR-369, OMA-DM.
Unit III
Introduction to SDN, SDN for IoT – Cloud and Data analytics- Types of Cloud – loT with cloud challenges – Selection of cloud for loT applications – Fog and Edge computing for loT – Data Handling and IoT Data Analytics – Case study with AWS / AZURE / Adafruit / GCP – security aspects for loT applications.
Objectives and Outcomes
Pre-Requisite(s): 23CSEXXX Embedded Systems and 23CSEXXX Computer Networks
Course Objectives
- This course covers the fundamentals of IoT and provides skills for IoT based product development.
- The skills students acquire in this subject include the selection of sensors, protocols, hardware boards, interfacing, and implementation for product building. Real life case studies are introduced in this course.
Course Outcomes
CO1: Understand the key techniques and theory behind Internet of Things.
CO2: Apply effectively the various enabling technologies (both hardware and software ) for IoT.
CO3: Understand the integration of Cloud and IoT , Edge and Fog Computing.
CO4: Apply various techniques for Data Accumulation, Storage and Analytics.
CO5: Design and build IoT system for any one interesting Use case.
CO-PO Mapping
| PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
| CO |
| CO1 |
3 |
2 |
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|
|
|
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2 |
2 |
3 |
2 |
| CO2 |
3 |
3 |
2 |
2 |
3 |
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3 |
2 |
2 |
2 |
2 |
2 |
3 |
2 |
| CO3 |
3 |
3 |
2 |
3 |
3 |
2 |
3 |
2 |
2 |
2 |
2 |
2 |
3 |
2 |
| CO4 |
3 |
3 |
2 |
3 |
3 |
2 |
3 |
2 |
2 |
2 |
2 |
2 |
3 |
2 |
| CO5 |
3 |
3 |
2 |
3 |
3 |
2 |
3 |
2 |
2 |
2 |
2 |
2 |
3 |
2 |
Evaluation Pattern
Evaluation Pattern: 70:30
| Assessment |
Internal |
End Semester |
| Mid Term Exam |
20 |
|
| Continuous Assessment Theory (*CAT) |
10 |
|
| Continuous Assessment Lab (*CAL) |
40 |
|
| **End Semester |
|
30 (50 Marks; 2 hours exam) |
*CAT – Can be Quizzes, Assignments, and Reports
*CAL – Can be Lab Assessments, Project, and Report
**End Semester can be theory examination/ lab-based examination/ project presentation
Text Books / References
Textbook(s)
- Misra, A. Mukherjee, and A. Roy, 2020. “Introduction to IoT”. Cambridge University Press, 2020.
Reference(s)
Bahga A, Madisetti V. “Internet of Things: A hands-on approach”; 2015.
Shriram K Vasudevan, Abhishek SN and Sundaram RMD. “Internet of Things”, First Edition,Wiley India;2019.
Raj P, Raman AC. “The Internet of things: Enabling Technologies, Platforms, and Use-cases”. Auerbach Publications; 2017.
- Misra, C. Roy, and A. Mukherjee, 2020. “Introduction to Industrial Internet of Things and Industry 4.0”. CRC Press
Adrian McEwen. “Designing the Internet of Things”, Wiley;2015.
