MEA-based wireless sensor network routing algorithm

被引：0

作者：

Li, Lihong ^{[1
]}

Zhao, Zhijun ^{[1
]}

机构：

[1] College of Information Engineering, Taiyuan University of Technology, Taiyuan, China

来源：

Journal of Information and Computational Science | 2012年 / 9卷 / 15期

关键词：

High energy consumption - Knowledge process - Mind evolution algorithms - Optimal routing - Routing optimization - Theoretical study;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Energy conservation and network life extending are the most important issues in the design of Wireless Sensor Network (WSN). According to high energy consumption of LEACH protocol and short survival lifetime of the WSN, MEA (Mind evolution algorithm)-based WSN routing algorithm was proposed in this paper. Knowledge process mechanism of the MEA was exploited to deal with the constraint of the physical distance of WSN to select the optimal routing so as to improve the efficiency of the WSN. The theoretical study and experiments results show the efficiency of the proposed algorithm. © 2012 by Binary Information Press.

引用

页码：4639 / 4645

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