Volume 5 Number 4 (Jul. 2016)
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IJCCE 2016 Vol.5(4): 260-268 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2016.5.4.260-268

DPSO Based Clustering Algorithm for Location in Wireless Sensor Networks

Baojian Liu, Qing Li, Xiaoyi Zhang
Abstract—In this paper, a new clustering algorithm for location is presented to improve the location accuracy in the energy constrained wireless sensor networks (WSNs). TDOA (time difference of arrival) location accuracy is affected by the position of the sensor nodes. As WSNs are composed of a huge number of sensor nodes deployed randomly, the optimal nodes for TDOA location are selected by trading off the location accuracy and the networks energy consumption using DPSO (discrete particle swarm optimization). Then a detailed process of the proposed clustering algorithm is given to group the selected node-sets into clusters. Finally, the proposed algorithm is tested under the RSSI (received signal strength indication)/TDOA two rounds cooperative location scheme. Simulation results show that this algorithm improves the location accuracy with low energy consumption.

Index Terms—Clustering algorithm, DPSO, TDOA, wireless sensor networks.

The authors are with the National Digital Switching System Engineering & Technology R&D Center, Zhengzhou, Henan, China.

Cite:Baojian Liu, Qing Li, Xiaoyi Zhang, "DPSO Based Clustering Algorithm for Location in Wireless Sensor Networks," International Journal of Computer and Communication Engineering vol. 5, no. 4, pp. 260-268, 2016.

General Information

ISSN: 2010-3743
Frequency: Bimonthly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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