Course

Syllabus

Introduction to IoT – Physical design of IoT – Logical design of IoT – IoT enabling technologies – IoT levels and deployment templates – Cloud computing – Deployment models – Service models – Service management – Cloud security – Communication protocols – CoAP – MQTT. IoT in Healthcare – Challenges in current healthcare systems – IoT healthcare services – Big data in IoT – Architecture of apache flume and spark – Wireless Body Area Networks (WBAN) Routing Protocols – Medium access control – Issues of WBAN. 

Case Studies – Wearable sensor network for remote health monitoring – IoT based location aware smart healthcare framework – Analysis of recovery of mobility through inertial navigation techniques and virtual reality – Control and remote monitoring of muscle activity and simulation in the rehabilitation process. Azure, AWS. 

Learning Objectives 

LO1 To understand the concepts of Internet of Things. 

LO2 To provide exposure to the routing protocols used in medical IoT devices. LO3 To comprehend on applications of IoT in the field of healthcare. 

Course Outcomes 

CO1 Ability to understand the basic architecture of an IoT device. CO2 Ability to apply big data analytics in Medical IoT devices. 

CO3 Ability to analyse mobility in location based IoT systems. 

CO4 Ability to evaluate the performance of IoT applications in healthcare.

1. Valentina Emilia Balas and Souvik Pal, Healthcare Paradigms in the Internet of Things Ecosystem, Academic Press, 2021. 
2. Arsheep Bahga and Vijay Madisetti, Internet of Things: A Hands-on Approach, Universities Press, 2015. 
3. Rajkumar Buyya and Amir Vahid Dastjerdi, Internet of Things Principles and Paradigms, Elsevier Inc, 2016.