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An Adaptive Data Fusion Routing Algorithm Based on Genetic Algorithm for Wireless Sensor Networks |
Wang Tian-jing①②; Yang Zhen①; Hu Hai-feng① |
①Institute of Signal and Information Processing, Nanjing university of Posts & Telecommunications, Nanjing 210003, China; ②College of Science, Nanjing University of Technology, Nanjing 210009, China |
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Abstract A novel adaptive data fusion routing algorithm based on genetic algorithm is proposed in order to solve the problem of mobile agent collecting correlated data with energy validity. When selecting the data fusion routing, mobile agent moving to every sensor node that shall perform fusion is adaptively adjusted according to data transmission cost, data fusion cost and energy gain. The simulation results indicate that the energy efficiency of adaptive fusion routing algorithm has better performance than full fusion routing algorithm and local closest first heuristics algorithm.
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Received: 10 October 2006
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