Localization Algorithms and Strategies for Wireless Sensor Networks, 1st Edition

  • Baris Fidan
  • Guoqiang Mao
  • Published By:
  • ISBN-10: 1605663972
  • ISBN-13: 9781605663975
  • DDC: 621.382
  • Grade Level Range: College Freshman - College Senior
  • 510 Pages | eBook
  • Original Copyright 2009 | Published/Released October 2009
  • This publication's content originally published in print form: 2009

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About

Overview

Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. "Localization Algorithms and Strategies for Wireless Sensor Networks" encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Preface.
Acknowledgment.
1: Introduction to Wireless Sensor Network Localization.
2: Measurements Used in Wireless Sensor Networks Localization.
3: Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking.
4: RF Ranging Methods and Performance Limits for Sensor Localization.
5: Calibration and Measurement of Signal Strength for Sensor Localization.
6: Graph Theoretic Techniques in the Analysis of Uniquely Localizable Sensor Networks.
7: Sequential Localization with Inaccurate Measurements.
8: MDS-Based Localization.
9: Statistical Location Detection.
10: Theory and Practice of Signal Strength-Based Localization in Indoor Environments.
11: On a Class of Localization Algorithms Using Received Signal Strength.
12: Machine Learning Based Localization.
13: Robust Localization Using Identifying Codes.
14: Evaluation of Localization Algorithms.
15: Accuracy Bounds for Wireless Localization Methods.
16: Experiences in Data Processing and Bayesian Filtering Applied to Localization and Tracking in Wireless Sensor Networks.
17: A Wireless Mesh Network Platform for Vehicle Positioning and Location Tracking.
18: Beyond Localization: Communicating Using Virtual Coordinates.
Compilation of References.
About the Contributors.
Index.