Power-efficient node localization algorithm in wireless sensor networks

Jinbao Li, Jianzhong Li, Longjiang Guo, Peng Wang

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

11 Scopus citations

Abstract

Sensor networks is an Ad-Hoc network consist of large amount of sensors. These sensors are distributed in a huge area. Each of the small, cheap, intelligent sensors has processor, memory and wireless transmission ability. These sensors collect or monitor the surroundings in real-time and process these data to obtain the detailed and accurate information from their covered area. Information from sensors must be combined with its location to make sense, so the location of sensors is very important in sensor network applications. Localization of sensors becomes one of the key techniques in sensor networks. A power-efficient localization algorithm is proposed in this paper. It uses few anchors(the sensors whose location is known) to implement the localization of other nodes without special devices such as GPS. This algorithm not only has the lower time cost and communication cost, but also needs only a few anchor nodes whose distribution is independent. Experimental results and analysis show that the localization algorithm proposed in this paper has higher accuracy, lower power cost and better expansibility. It is very suitable for large scale sensor networks.

Original languageEnglish
Title of host publicationAdvanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops
Subtitle of host publicationXRA, IWSN, MEGA, and ICSE, Proceedings
PublisherSpringer Verlag
Pages420-430
Number of pages11
ISBN (Print)3540311580, 9783540311584
DOIs
StatePublished - 2006
Externally publishedYes
EventAPWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE - Harbin, China
Duration: 16 Jan 200618 Jan 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAPWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE
Country/TerritoryChina
CityHarbin
Period16/01/0618/01/06

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