Springer, 2022. — 218 p. — ISBN 978-3-030-74060-3.
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.