Springer Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks (EAI/Springer Innovations in Communication and Computing)

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. From the Back Cover 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. Presents a variety of perspectives on real time location and tracking (L&T) problems and low cost solutions; Allows readers to simulate L&T systems and validate them using real time measurements; Includes MATLAB based examples, codes and illustration of obtained results. About the Author 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