Localization in Wireless Networks

Foundations and Applications

  • Jessica Feng Sanford
  • Miodrag Potkonjak
  • Sasha Slijepcevic

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 1-7
  3. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 9-39
  4. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 41-64
  5. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 65-95
  6. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 97-128
  7. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 129-160
  8. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 161-187
  9. Jessica Feng Sanford, Miodrag Potkonjak, Sasha Slijepcevic
    Pages 189-192
  10. Back Matter
    Pages 193-197

About this book

Introduction

In a computational tour-de-force, this volume wipes away a host of problems related to location discovery in wireless ad-hoc sensor networks. WASNs have recognized potential in many applications that are location-dependent, yet are heavily constrained by factors such as cost and energy consumption. Their “ad-hoc” nature, with direct rather than mediated connections between a network of wireless devices, adds another layer of difficulty.

 

Basing this work entirely on data-driven, coordinated algorithms, the authors' aim is to present location discovery techniques that are highly accurate—and which fit user criteria. The research deploys nonparametric statistical methods and relies on the concept of joint probability to construct error (including location error) models and environmental field models. It also addresses system issues such as the broadcast and scheduling of the beacon. Reporting an impressive accuracy gain of almost 17 percent, and organized in a clear, sequential manner, this book represents a stride forward in wireless localization.

Keywords

Distance Measurement Error Modeling Dynamic Programming-based Regression Impact of Location Error on Applications Iterative Location Discovery Algorithm Iterative Shape and Space Approximation Modifications of the Regression Function Nonlinear Programming-based Formulation Range-free Location Discovery Statistical Analysis of Location Error Wireless Networks (WSN) Localization

Authors and affiliations

  • Jessica Feng Sanford
    • 1
  • Miodrag Potkonjak
    • 2
  • Sasha Slijepcevic
    • 3
  1. 1., Senior ConsultantBooz, Allen, Hamilton, Inc.Los AngelesUSA
  2. 2., Computer ScienceUniversity of CaliforniaLos Angeles, CAUSA
  3. 3.Texas InstrumentsSanta BarbaraUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1839-9
  • Copyright Information Springer Science+Business Media New York 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-1838-2
  • Online ISBN 978-1-4614-1839-9
  • About this book
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