JACIII Vol.16 No.6 pp. 741-747
doi: 10.20965/jaciii.2012.p0741


Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks

Rongbin Qi*, Sijin Li*, Tianyi Ma**, and Feng Qian*

*Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

**Department of Computer Science and Technology, Shanghai Business School, Shanghai 200235, China

February 17, 2012
June 26, 2012
September 20, 2012
artificial bee colony, genetic algorithm, evolutionary computing, wireless sensor networks, node localization

Nodes localization plays an important role in applications of wireless sensor networks. In this paper, a localization scheme with a mobile anchor using a hybrid algorithm (ABC-GA) which combines Artificial Bee Colony (ABC) algorithm with the advantages of Genetic Algorithm (GA) is proposed. The localization scheme determines location of unknown node by the mobile anchor. It has high accuracy without any additional requirements for the hardware of unknown node. The core problem of the scheme is to find the shortest path to traverse all unknown nodes by the proposed hybrid algorithm. Simulation results show that ABC-GA hybrid algorithm has high convergence rate and strong global search capability, and the accuracy of localization scheme is satisfactory.

Cite this article as:
Rongbin Qi, Sijin Li, Tianyi Ma, and Feng Qian, “Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.6, pp. 741-747, 2012.
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