Research and Design of Heritable Clustering Algorithm in Wireless Sensor Network

Lihui Xie, Biyu Tang
{"title":"Research and Design of Heritable Clustering Algorithm in Wireless Sensor Network","authors":"Lihui Xie, Biyu Tang","doi":"10.1109/ICEEE.2010.5660896","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6302,"journal":{"name":"2010 International Conference on E-Product E-Service and E-Entertainment","volume":"59 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Product E-Service and E-Entertainment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2010.5660896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
无线传感器网络中可遗传聚类算法的研究与设计
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信