A Two Phase Genetic Algorithm Based Wireless Network Localization Technique

Tamer Abdelazim, Adel Moussa, Abdelrahman Ali

Abstract:	A two phase localization technique based on Genetic Algorithms (GAs) to estimate wireless networks sensors location is proposed in this paper. The first phase of the algorithm calculates a highly probable approximated region that has the optimal location solution. The second phase of the algorithm is a fast parallel processing GA that will minimize the summation of the squared range error of all neighboring anchor nodes. Details of the algorithm are described in the paper as well the results of the algorithm are discussed. Different simulation tests with different topologies are conducted based on normal random distribution for time of arrival (TOA) measurements. The simulation test results showed effectiveness of the proposed approach in case of TOA measurements when compared with the lower variance achievable by any unbiased location estimator.
Published in:	Proceedings of the 2010 International Technical Meeting of The Institute of Navigation January 25 - 27, 2010 Catamaran Resort Hotel San Diego, CA
Pages:	799 - 802
Cite this article:	Abdelazim, Tamer, Moussa, Adel, Ali, Abdelrahman, "A Two Phase Genetic Algorithm Based Wireless Network Localization Technique," Proceedings of the 2010 International Technical Meeting of The Institute of Navigation, San Diego, CA, January 2010, pp. 799-802.
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