利用遗传算法提高无线传感器网络的生存期

Hadeel Alazzam, W. Almobaideen
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引用次数: 7

摘要

无线传感器网络(WSNs)中传感器定位的选择是一个很大的挑战,特别是在广阔的区域。本文提出了一种新的传感器放置方法,采用混合方法,其中大部分传感器随机分布,而根据遗传搜索算法的结果,以有管理的方式分布约占总数10%的小部分传感器。采用两个适应度函数进行比较,并使用omnet++模拟器进行实验设计,以评估所提出的方法对WSN寿命的影响。结果表明,该方法显著提高了无线传感器网络的寿命和吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing The Lifetime of Wireless Sensor Network using Genetic Algorithm
Selecting the localization of sensors in Wireless Sensor Networks (WSNs) is a big challenge, especially in a wide area. In this paper, a new method is proposed to place sensors using hybrid approach where a large portion of sensors is distributed randomly, while a smaller portion of about 10% of the total number of sensors is distributed in a managed way based on the results of a genetic searching algorithm. Two fitness functions are used for comparison purposes, and Omnet++ simulator was used to conduct the experiment designed to evaluate the proposed method effect on the lifetime of the WSN. Results show that the proposed method increases the lifetime and the throughput of WSN significantly.
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