撒布预知下GA对动态WSN寿命稳定性分析

Analysis for Adaptability of MWSN's Longevity by GA of Bestrew Distributing

在静态Wireless Sensor Networks(WSN)寿命预知算法基础上,进一步研究动态WSN寿命的预知算法,从结构上提出寿命预知的映射图,给出了只与最佳邻居数选择相关的映射函数,得出WSN随机撒布分布寿命预知的算法,并从节能的角度用遗传算法(GA,Genetic Algorithm),对动态网络频繁更新所导致的寿命减少问题进行了优化,提出了解决动态WSN的普适节能算法。仿真证实了上述问题的有效性。

Based on the arithmetic of longevity prediction for WSN（wireless sensor networks）, the arithmetic for MWSN has been further studied,and the mapped chart has been put forward from structure angle, and the mapping function which only related to best neighbor number has been given, thereby getting the arithmetic of longevity prediction by random distributing. Moreover, the longevity has been shorted because of the frequent update of dynamic networks , so from energy - saving angle , the influence has been optimized by genetic algorithm,and the universal energy- saving algorithm which slove the problems of MWSN has been proposed. Simulation experiment attests to above questions＇ validity.