TY  - BOOK
AU  - Jondhale,Satish R.
AU  - Maheswar,R.
AU  - Lloret,Jaime
ED  - SpringerLink (Online service)
TI  - Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks
T2  - EAI/Springer Innovations in Communication and Computing,
SN  - 9783030740610
AV  - TK5103.4895 
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Telecommunication
KW  - Cooperating objects (Computer systems)
KW  - Software engineering
KW  - Communications Engineering, Networks
KW  - Cyber-Physical Systems
KW  - Software Engineering
KW  - Wireless localization
KW  - Wireless sensor networks
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-74061-0
ER  -