A Novel Routing Algorithm for Energy-Efficient in Wireless Sensor Networks

被引：2

作者：

Xie Miao ^{[1
,2
]}

Huang Ting-lei ^{[1
]}

Zhu Xiao-shu ^{[2
]}

机构：

[1] Guilin Univ Elect Technol, Sch Comp & Control, Guilin 541004, Guangxi, Peoples R China

[2] Yulin Normal Univ, Vocat Techn Sch, Guilin 537000, Guangxi, Peoples R China

来源：

THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING | 2009年

关键词：

WSN; clustering; genetic simulated annealing algorithm;

D O I：

10.1109/WGEC.2009.116

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For WSN,the network node energy is limited, so how to save and even the consumption of the overall energy is an important problem.Clustering is one of the design methods used to manage the network energy consumption efficiently. In this paper,we use genetic simulated annealing algorithm(GSAA) to find an optimal cluster formation and prolong network lifetime.The proposed algorithm takes the nodes position and energy consumption of the network as objective function. Simulation results show that the system's performance have further improved by using GSAA over some existing cluster-based routing protocols.

引用

页码：65 / +

页数：2

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