Abstract

Node localization in wireless sensor networks is one of the most important basic questions. By introducing harmony search algorithm to optimize the wireless sensor network node position calculation, reducing the impact of ranging error and improve the positioning accuracy node; reduces the computational complexity, accelerate the speed of operation. Through simulation experiments based on simulated annealing and genetic algorithms for solving methods were compared, the results show that the positioning of this paper computing technology in positioning accuracy, operational performance are better than them.

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