A Hybrid Algorithm of GA + Simplex Method in the WSN Localization

Localization provides the key support for wireless sensor networks (WSNs). In order to solve the large-error problem in the third phase and the poor position accuracy of the least square method in the weighted DV-Hop algorithm, a hybrid algorithm of GA + simplex method was proposed in this paper. Th...

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Main Authors: Feng Wang, Cong Wang, ZiZhong Wang, Xue-ying Zhang
Format: Article
Language:English
Published: Wiley 2015-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/731894
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author Feng Wang
Cong Wang
ZiZhong Wang
Xue-ying Zhang
author_facet Feng Wang
Cong Wang
ZiZhong Wang
Xue-ying Zhang
author_sort Feng Wang
collection DOAJ
description Localization provides the key support for wireless sensor networks (WSNs). In order to solve the large-error problem in the third phase and the poor position accuracy of the least square method in the weighted DV-Hop algorithm, a hybrid algorithm of GA + simplex method was proposed in this paper. The weighted DV-Hop position algorithm was applied to estimate the distance between the unknown node and the anchor node in the first and second phase. In the third phase, a hybrid genetic algorithm with the simplex method was proposed to optimize the coordinates of the unknown nodes. In the hybrid genetic algorithm, a fitness function which combined the cost function with the penalty function was built, and the simplex method was used to increase the local search ability of the algorithm. Experiments show that both of the localization accuracy and network coverage rate are improved significantly, and the hybrid algorithm of GA + simplex method is suitable for the WSN localization.
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institution Kabale University
issn 1550-1477
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publishDate 2015-07-01
publisher Wiley
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series International Journal of Distributed Sensor Networks
spelling doaj-art-499a312b33144306a5e806fd69eed91d2025-02-03T06:43:15ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/731894731894A Hybrid Algorithm of GA + Simplex Method in the WSN LocalizationFeng WangCong WangZiZhong WangXue-ying ZhangLocalization provides the key support for wireless sensor networks (WSNs). In order to solve the large-error problem in the third phase and the poor position accuracy of the least square method in the weighted DV-Hop algorithm, a hybrid algorithm of GA + simplex method was proposed in this paper. The weighted DV-Hop position algorithm was applied to estimate the distance between the unknown node and the anchor node in the first and second phase. In the third phase, a hybrid genetic algorithm with the simplex method was proposed to optimize the coordinates of the unknown nodes. In the hybrid genetic algorithm, a fitness function which combined the cost function with the penalty function was built, and the simplex method was used to increase the local search ability of the algorithm. Experiments show that both of the localization accuracy and network coverage rate are improved significantly, and the hybrid algorithm of GA + simplex method is suitable for the WSN localization.https://doi.org/10.1155/2015/731894
spellingShingle Feng Wang
Cong Wang
ZiZhong Wang
Xue-ying Zhang
A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
International Journal of Distributed Sensor Networks
title A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
title_full A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
title_fullStr A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
title_full_unstemmed A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
title_short A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
title_sort hybrid algorithm of ga simplex method in the wsn localization
url https://doi.org/10.1155/2015/731894
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