Title Statements
- Full title :Received signal strength based target localization and tracking using wireless sensor networks / Satish R. Jondhale, R. Maheswar, Jaime Lloret.
Summary
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.
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- Publication Date:2022.
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham, Switzerland
- Language:eng
- Publication Date:2022.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9783030740610, 3030740617
- DOI:10.1007/978-3-030-74061-0
- oclc:on1262368392
- LC Classification:TK5103.4895
- Dewey Decimal:621.384
Table of Contents
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.
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