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.

Dr. R. Maheswar has completed his B.E (ECE) from Madras University in the year 1999, M.E (Applied Electronics) from Bharathiyar University in the year 2002 and Ph.D in the field of Wireless Sensor Network from Anna University in the year 2012. He has about 19 years of teaching experience at various levels and presently working as Assistant Dean - Research and Dean In-Charge for the School of EEE, VIT Bhopal University, Bhopal. He has published around 70 papers at International Journals and International Conferences and published 4 patents. His research interest includes Wireless Sensor Network, IoT, Queueing theory and Performance Evaluation. He has served as guest editor for Wireless Networks Journal, Springer and serving as editorial review board member for peer reviewed journals, and also edited 4 books supported by EAI/Springer Innovations in Communications and Computing book series. He is presently an associate editor in Wireless Networks Journal, Springer, Alexandria Engineering Journal, Elsevier and Ad-hoc Sensor Wireless Networks Journal, Old City Publishing.

Dr. Jaime Lloret received his B.Sc.+M.Sc. in Physics in 1997, his B.Sc.+M.Sc. in electronic Engineering in 2003 and his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He is IEEE Senior, ACM Senior, IARIA Fellow.  He is Chair of the Integrated Management Coastal Research Institute (IGIC), IEEE Spain Section Officer, Chair of the Internet Technical Committee (IEEE Communications Society   Internet Society) (Term 2014-2015), Head of the Innovation Group "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)  as well as Chair IEEE 1907.1 WG (till 2018). He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) and he is the head of the "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)" Innovation Group. He is the director of the University Diploma "Redes y Comunicaciones de Ordenadores" and he has been the director of the University Master "Digital Post Production" for the term 2012-2016. He was Vic

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.