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Improved range-free localization for three-dimensional wireless sensor networks using genetic algorithm
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DOI：10.1016/j.compeleceng.2017.12.036.png)
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Abstract
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This paper presents a distributed range-free node localization algorithm for three-dimensional (3D) wireless sensor networks (WSNs), named as 3D-GAIDV Hop (3D genetic algorithm based Improved Distance Vector Hop). In the proposed algorithm, the average hop size of anchor nodes is modified by updating a correction factor and the modified hop size is further optimized by line search algorithm. The concept of coplanarity is introduced to reduce location errors caused by the anchor nodes which are coplanar. The localization accuracy is further improved by applying genetic algorithm (GA). To improve the positioning coverage of the network, those target nodes which have been localized successfully in the first round of the localization process, are upgraded to assistant anchor node. All the processes and calculations are carried out at target node level, which makes the proposed algorithm energy efficient. Simulation results show that our proposed algorithm outperforms the similar kind of existing algorithms. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
DV-Hop algorithm
Genetic algorithm
Localization
Optimization
Wireless sensor networks
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