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Received signal strength based targe...

Jondhale, Satish R.

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Received signal strength based target localization and tracking using wireless sensor networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Received signal strength based target localization and tracking using wireless sensor networks/ by Satish R. Jondhale, R. Maheswar, Jaime Lloret.
Author:	Jondhale, Satish R.
other author:	Maheswar, R.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xv, 205 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Wireless localization. -
Online resource:	https://doi.org/10.1007/978-3-030-74061-0
ISBN:	9783030740610

Received signal strength based target localization and tracking using wireless sensor networks
Jondhale, Satish R.

Received signal strength based target localization and tracking using wireless sensor networks[electronic resource] /by Satish R. Jondhale, R. Maheswar, Jaime Lloret. - Cham :Springer International Publishing :2022. - xv, 205 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030740610

Standard No.: 10.1007/978-3-030-74061-0doiSubjects--Topical Terms:

3227049
Wireless localization.

LC Class. No.: TK5103.4895 / .J65 2022

Dewey Class. No.: 621.384

Received signal strength based target localization and tracking using wireless sensor networks
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245 1 0 $a Received signal strength based target localization and tracking using wireless sensor networks $h [electronic resource] / $c by Satish R. Jondhale, R. Maheswar, Jaime Lloret.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xv, 205 p. : $b ill., digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8595
505 0 $a 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.
520 $a 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.
650 0 $a Wireless localization. $3 3227049
650 0 $a Wireless sensor networks. $3 1086182
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Cyber-physical systems, IoT. $3 3386699
650 2 4 $a Software Engineering. $3 890874
700 1 $a Maheswar, R. $3 3383145
700 1 $a Lloret, Jaime. $3 2071670
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 3299732
856 4 0 $u https://doi.org/10.1007/978-3-030-74061-0
950 $a Engineering (SpringerNature-11647)