21EC741 IoT and Wireless Sensor Networks
Course Learning Objectives
● To provide an exposure to the broad perspective of Internet of Things with respect to the characteristics, design, technologies and applications.
● To provide a basic understanding of the important aspects of Wireless sensor networks covering applications, sensor and transmission technology & systems, middleware, performance and traffic management.
SYLLABUS COPY
MODULE - 1
Internet of Things
Introduction, Physical design, Logical design, Enabling technologies, Levels & deployment templates.
MODULE - 2
Domain Specific IoTs
Home automation, cities, environment, energy, retail, logistics, agriculture, industry, health & lifestyle.
MODULE - 3
Wireless Sensor Networks
Introduction, applications of sensor networks, basic overview of the technology, basic sensor network architectural elements, present day sensor network research, challenges and hurdles, examples of Category 2 WSN applications, examples of Category 1 WSN applications
MODULE - 4
Wireless sensor technology
Introduction, sensor node technology – overview, hardware and software, sensor taxonomy, WN operating environment, WN trends.
Wireless Transmission technology and systems
Introduction, Campus applications, MAN/WAN applications.
MODULE - 5
Middleware for WSNs
Introduction, principles, architecture, data related functions
Performance and traffic management
background, WSN Design issues, performance modelling of WSNs.
Course outcome
1. Understand the characteristics, building blocks, enabling technologies of the IoT systems
2. Describe the characteristics and applications of domain specific IoTs.
3. Discuss the overview of the Wireless sensor networks characteristics and applications.
4. Present the sensor, transmission technology and systems associated with WSN.
5. Understand the concepts of middleware, performance evaluation and traffic management in WSN.
Suggested Learning Resources
Text Books
1. ‘Internet of Things’, Arshdeep Bagha and Vijay Madisetti, Universities Press, 2015
2. ‘Wireless Sensor Networks’, Kazem Sohraby, Daniel Minoli and Taieb Znati, Wiley, 2015.