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

Rongbin Qi | Zendy; Sijin Li | Zendy; Tianyi Ma | Zendy; Feng Qian | Zendy

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

Author(s) -

Rongbin Qi,

Sijin Li,

Tianyi Ma,

Feng Qian

Publication year - 2012

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2012.p0741

Subject(s) - computer science , traverse , wireless sensor network , node (physics) , algorithm , scheme (mathematics) , convergence (economics) , genetic algorithm , wireless , hybrid algorithm (constraint satisfaction) , computer network , artificial intelligence , mathematics , telecommunications , machine learning , mathematical analysis , constraint logic programming , constraint satisfaction , geodesy , structural engineering , economic growth , probabilistic logic , engineering , economics , geography

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.

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