CEI345 Iot for Smart Cities Syllabus:
CEI345 Iot for Smart Cities Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
▪ To know the concept of smart city and associated challenges.
▪ To understand latest technologies used in intelligent building.
▪ To get familiarization about the role of artificial intelligence for smart city.
▪ To understand the importance of water management system.
▪ To realize the importance of different smart system.
UNIT I INTRODUCTION TO IOT FOR SMART CITIES
Introduction-Characteristics of Smart Cities, IoT-Based Solutions for Smart Cities, Smart Home, Transport and Traffic Management, Challenges, Smart City Planning and Management, The Fundamentals of Smart Infrastructure, Role of Machine Learning and Deep Learning in Internet of Things enabled Smart Cities.
UNIT II TECHNOLOGIES FOR INTERNET OF THINGS
Introduction, Communication Technologies for IoT Networks, Recent Protocols for IoT, Overview OF Secure IoT Architectures, IoT-Based Services for Smart Cities, Cellular Mobile Networks, Cloud Internet of Things, Study of Communication Technologies: Intelligent Traffic System, Disaster Management, Implementation and Comparison of MQTT, WebSocket, and HTTP Protocols for Smart Room IoT Application in Node-RED.
UNIT III AI FOR SMART CITIES
Overview of Artificial Intelligence, Machine Learning and deep learning algorithms for smart cities, case study: smart street lighting, Smart building, Smart parking, smart irrigation, smart waste and storm water management, Vehicle Payload Monitoring System.
UNIT IV TRANSPORTATION SYSTEM IN SMART CITY
Traffic Management for Smart Cities , Sensors , Electric Vehicles in Smart Cities, EV Charging Techniques, Renewable Energy, Smart Distribution Systems, Smart Grid, Traffic Control System for Smart City using Image Processing, An Interactive Analysis Platform for Bus Movement: A Case Study of One of the World’s Largest Annual Gathering
UNIT V SECURITY AND PRIVACY IN SMART CITY
Privacy and Social Values in Smart Cities , Information Security in the Smart City , IoT Security Challenges , Blockchain Technology FOR IoT, Case Studies: Smart Homes, Food Supply Chain Traceability System, smart street lighting, Smart building, Smart parking, smart irrigation, Security and Privacy Threats in IoT-Enabled Smart Cities
TOTAL: 45 PERIODS
SKILL DEVELOPMENT ACTIVITIES (Group Seminar/Mini Project/Assignment/ Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
1. Knowledge in Artificial Intelligence, Machine Learning and deep learning algorithms
2. Should develop Community skills, Data skills, Technology skills.
3. Develop and organize well Transportation system
4. Mini Project: Home Automation using IoT, Smart Irrigation System, Smart Building using IoT, Smart Energy Meter using GSM, Solar & Smart Energy Systems, Automatic Solar Tracker, GPS & GSM based Tracker, Smart Water Monitoring, Automated Street Lighting, Automated Railway Crossing, Smart Traffic Lighting System.
COURSE OUTCOMES:
Students able to
CO1 Relate the necessity of infrastructural development for smart cities.
CO2 Explain the components of infrastructure plan for smart city.
CO3 ChooseAI based intelligent system in smart city.
CO4 Analyze water resources systems for smart city.
CO5 Construct and work in the smart city projects.
TEXT BOOKS:
1. Waleed Ejaz, Alagan Anpalagan, Internet of Things for Smart Cities: Technologies, Big Data and Security, 1st ed. Springer International Publishing, 2019.
2. Stimmel, Carol L, Building smart cities: analytics, ICT, and design thinking, Taylor & Francis, 2016.
3. Joel J. P. C. Rodrigues, Parul Agarwal, Kavita Khann, IoT for Sustainable Smart Cities and Society, 2022.
REFERENCES:
1. Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam, AI and IoT for Smart City Applications, Springer, 2022.
2. Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam, AI and IoT for Smart City Applications, Springer International Publishing , 2022.
3. Al-Turjman, Fadi, Intelligence in IoT-enabled smart cities, CRC Press, 2019.
4. Artificial Intelligence, Machine Learning, and Deep Learning, Oswald Campesato, Mercury Learning and Information, 2020.
5. Arpan Kumar Kar, M P Gupta, P. Vigneswara Ilavarasan, Yogesh K. Dwivedi, Advances in smart cities : smarter people, governance and solutions CRC Press, 2017.
6. Understanding IoT Security: https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/
7. Hammi, B., Khatoun, R., Zeadally, S., Fayad, A., & Khoukhi, L. IoT technologies for smart cities, 2018.