A low-cost localization algorithm for mobile sensor networks

Dar Wei Chiou, Guey Yun Chang, Jen Feng Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Most of existing localization algorithms for mobile sensor networks are based on the Sequential Monte Carlo (SMC) method. SMC-based methods has either high localization error in low-anchor density environments or high computation cost. In this paper, we propose a low cost localization algorithm. Our idea comes from the observation that a sensor node which hears an another node for a sufficiently long time has trajectory similar to the heard anchor node's trajectory. Simulation shows that our algorithm has low localization error, and low computation cost.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Han-Chieh Chao, Stephen Jenn-Hwa Yang
PublisherIOS Press BV
Pages1571-1579
Number of pages9
ISBN (Electronic)9781614994831
DOIs
StatePublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 12 Dec 201414 Dec 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

ConferenceInternational Computer Symposium, ICS 2014
Country/TerritoryTaiwan
CityTaichung
Period12/12/1414/12/14

Keywords

  • Localization
  • Mobile
  • Wireless Sensor Networks

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