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


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, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Number of pages9
ISBN (Electronic)9781614994831
StatePublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 12 Dec 201414 Dec 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


ConferenceInternational Computer Symposium, ICS 2014


  • Localization
  • Mobile
  • Wireless Sensor Networks


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