A broadcast path choice algorithm based on simulated annealing for Wireless Sensor Network

Haitao Zhang, Ge Bai, Cuiping Liu
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引用次数: 6

Abstract

According to solid annealing physics phenomenon and based on simulated annealing applying in combinational optimization problem, this paper puts forward a method that could use simulated annealing algorithm (SABA) to solve broadcast path in wireless sensor network. The broadcast transmission link formed by this algorithm not only can absorb local optimum solution, but also can jump out of the wrong local optimum. Furthermore, at first it absorbs the inferior solution, with temperature decreased, it will get rid of the inferior solution step by step to get global optimal solution. The simulation shows that comparing to 2-opt algorithm, this algorithm can decrease the length of transmission, and save energy consumption.
基于模拟退火的无线传感器网络广播路径选择算法
根据固体退火物理现象,在模拟退火应用于组合优化问题的基础上,提出了一种利用模拟退火算法(SABA)求解无线传感器网络广播路径的方法。该算法形成的广播传输链路既能吸收局部最优解,又能跳出错误的局部最优解。首先吸收劣解,随着温度的降低,逐步去除劣解,得到全局最优解。仿真结果表明,与2-opt算法相比,该算法可以缩短传输长度,节约能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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