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

This book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essential topics including range-based and range-free localization strategies, and signal path loss models. In addition, the book includes motion models and how state estimation techniques and advanced machine learning techniques can be utilized to design L&T systems for a given problem using low cost measurement metric (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes. The book allows practicing engineers and graduate students to keep pace with contemporary research and new technologies in the L&T domain.

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.

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 SenlÃN