Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks (Paperback, 1st ed. 2022)

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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.

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Product Description

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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

EAI/Springer Innovations in Communication and Computing

Release date

July 2022

Availability

Expected to ship within 10 - 15 working days

First published

2022

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

205

Edition

1st ed. 2022

ISBN-13

978-3-03-074063-4

Barcode

9783030740634

Categories

LSN

3-03-074063-3



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