Energy constrained clustering routing method based on particle swarm optimization

被引：12

作者：

Gao, Feng ^{[1
]}

Luo, Wancheng ^{[1
]}

Ma, Xinqiang ^{[1
]}

机构：

[1] Chongqing Univ Arts & Sci, Sch Software Engn, Chongqing, Peoples R China

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 3期

关键词：

Wireless sensor networks; Energy constrained; Clustering routing algorithm; Particle swarm optimization; Fitness; WIRELESS SENSOR NETWORKS; PROTOCOL; ALGORITHM; AWARE;

D O I：

10.1007/s10586-018-2339-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless sensor networks are made up of a large number of wireless sensor nodes which are exploited to sense parameters in environment such as temperature, moisture level, pressure, light intensity, vibration, and so on. In order to effectively reduce energy consumption of WSN, this paper proposes a novel energy constrained clustering routing method based on particle swarm optimization. The simulation results show that proposed method can achieve better overall performance for both energy consumption and network lifetime.

引用

页码：S7629 / S7635

页数：7

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