Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks

Dr. Satish R. Jondhale received his B.E. in Electronics and Telecommunication in 2006, his M.E. in Electronics and Telecommunication in 2012 and his Ph.D. in Electronics and Telecommunication in 2019 from Savitribai Phule Pune University, Pune, India. He is currently working as an Assistant Professor in Electronics and Telecommunication Department at Amrutvahini College of Engineering, Sangamner, Maharashtra, India for more than a decade. His research interests are Signal processing, Target Localization and Tracking, Wireless Sensor Networks, Artificial Neural Networks and Applications, Image Processing and Embedded System Design. He has several publications in reputed journals such as IEEE Sensors Journal, Ad Hoc Networks (Elsevier), Ad Hoc Sensor & Wireless Networks, and International Journal of Communication Systems (Wiley). He has published two book chapters in Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario", Springer, 2019. He is also a member of professional societies such as IEEE, ISTE. He has been a reviewer for number of peer reviewed journals such as IEEE Transactions on Industrial Informatics, IEEE Sensors, Signal Processing (Elsevier), IEEE Access, IEEE Signal Processing Letters, and Ad Hoc, Sensor Wireless Networks and so on. He has recieved review recognition appreciation from Mississipi State University, USA for valuable review work. He had served as a TPC member for Sixth International conference on Internet of Things: Systems, Management and Security (IOTSMS 2019) held at Granada, Spain on 22-25 October, 2019 (Technically Co-Sponsored by IEEE Spain Section). He has been appointed as "Bentham Brand Ambassador" for 2019-20.

Chapter 1 . Fundamentals of Wireless Sensor Networks.- Chapter 2. Target Localization and Tracking using WSN.- Chapter 3. Survey of Existing RSSI Based Target L&T Systems.- Chapter 4. Trilateration Based Target L&T Using RSSI.- Chapter 5. KF Based Target L&T Using RSSI.- Chapter 6. GRNN Based Target L&T Using RSSI.- Chapter 7. Supervised Learning Architectures Based Target L&T Using RSSI.