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 metrics (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 illustrations of obtained results.