Performance enhancement of localization in wireless sensor network by self-adaptive algorithm based on difference

Guo Fang Dong*, Liu Chang, Gao Fei, Wan Sheng Wang, Xiaoling Niu, Peng Gong

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, we present a self-adaptive localization algorithm based on difference for the node localization in wireless sensor network. We first divide the sensing area into several small regions according to the density of unknown nodes. Then, we distribute the beacon nodes within the sensing area in a reasonable manner. The measured errors of estimated location in beacon nodes are considered as the adjusted values and are broadcasted to the adjacent unknown nodes. Based on the broadcasted adjusted values, the unknown nodes adjust their relative position information. The simulation results show that with the proposed algorithm the node localization errors can be reduced and the accuracy of localization is greatly increased.

Original languageEnglish
Title of host publication2010 Global Mobile Congress, GMC'2010
DOIs
Publication statusPublished - 2010
Event2010 Global Mobile Congress, GMC'2010 - Shanghai, China
Duration: 18 Oct 201019 Oct 2010

Publication series

Name2010 Global Mobile Congress, GMC'2010

Conference

Conference2010 Global Mobile Congress, GMC'2010
Country/TerritoryChina
CityShanghai
Period18/10/1019/10/10

Fingerprint

Dive into the research topics of 'Performance enhancement of localization in wireless sensor network by self-adaptive algorithm based on difference'. Together they form a unique fingerprint.

Cite this