Localization algorithm for wireless sensor networks

Yin Chun Chen, Der-Jiunn Deng, Yeong Sheng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In recent years, many localization algorithms are proposed for wireless sensor networks because that is crucial to identifying the accurate positions of sensor nodes. This study proposes an analytic localization algorithm by utilizing radical centers. Assume that a target node can measure its distances to four or more anchor nodes. By picking four distance measurements to four anchor nodes, a radical center is computed and treated as the target node location. To further improve and fuse these estimations, effective filtering mechanisms are then proposed to filter out the improper estimations. Afterwards, the remaining radical centers are averaged, and the solution is the final estimation of the target node location. The location errors of the proposed method and the conventional Minimum Mean Square Error method (MMSE) are analytically compared. Extensive computer simulations were carried out and the results verify the advantage of the proposed location algorithm over the MMSE approach.

Original languageEnglish
Title of host publicationAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Pages135-141
Number of pages7
DOIs
Publication statusPublished - 2014 Feb 17
EventAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
Duration: 2013 Aug 232013 Aug 25

Publication series

NameLecture Notes in Electrical Engineering
Volume260 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
CountryTaiwan
Period13-08-2313-08-25

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Chen, Y. C., Deng, D-J., & Chen, Y. S. (2014). Localization algorithm for wireless sensor networks. In Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 (pp. 135-141). (Lecture Notes in Electrical Engineering; Vol. 260 LNEE). https://doi.org/10.1007/978-94-007-7262-515