无线传感器网络中可遗传聚类算法的研究与设计

Lihui Xie, Biyu Tang
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引用次数: 1

摘要

最近对无线传感器网络的兴趣导致了许多聚类算法,这些算法可以更有效地利用传感器有限的可用能量。在本文中,我们提出了一种基于HEED的低能量无线传感器网络的可遗传聚类算法。引入了预约机制,有效地减少了簇头重选的开销。在集群中,采用了基于联锁调度思想和多级结构的TDMA通信机制。仿真结果表明,与HEED算法相比,该聚类算法提高了能量效率,均衡了能量消耗,最终延长了网络寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Design of Heritable Clustering Algorithm in Wireless Sensor Network
The recent interest in Wireless Sensor Networks has led to a number of clustering algorithms that use the limited energy available at sensors more efficiently. In this article, we present a heritable clustering algorithm based on HEED for low energy wireless sensor network. It brings in appointment mechanism to reduce the cluster head reelect overhead efficiently. In the cluster, TDMA communication mechanism base on the idea of interlocking schedule and multi-level structure are adopted. Simulation results indicate that compare with HEED, this clustering algorithm enhance the energy efficiency and equalize the energy consume, which ultimately prolong the network lifetime.
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