An intersection-based coverage algorithm for PEGASIS architecture in Wireless sensor networks

Young-Long Chen, Yu-Cheng Lin, Neng-Chung Wang
{"title":"An intersection-based coverage algorithm for PEGASIS architecture in Wireless sensor networks","authors":"Young-Long Chen, Yu-Cheng Lin, Neng-Chung Wang","doi":"10.1109/ICMLC.2012.6359635","DOIUrl":null,"url":null,"abstract":"In Wireless sensor networks (WSNs), the energy of sensor node is finite, it's an important issue that how to reduce the energy consumption and extend the lifetime of entire network. In power-efficient gathering in sensor information systems (pEGASIS) topology architecture, the energy consumption of each sensor node is fewer and more average than low-energy adaptive clustering hierarchy (LEACH). Accordingly, we combine the PEGASIS topology architecture and intersection-based coverage algorithm (IBCA) to decrease the energy consumption. First of all, we find out the redundant sensor nodes to enter to the sleep mode by means of IBCA. Then, it builds the PEGASIS topology architecture by active sensor nodes which are not chosen to enter to sleep mode by IBCA. Through a series of simulations, the performances of our novel scheme outperform LEACH with PBCA in terms of energy consumption, number of alive nodes and sensing areas.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

In Wireless sensor networks (WSNs), the energy of sensor node is finite, it's an important issue that how to reduce the energy consumption and extend the lifetime of entire network. In power-efficient gathering in sensor information systems (pEGASIS) topology architecture, the energy consumption of each sensor node is fewer and more average than low-energy adaptive clustering hierarchy (LEACH). Accordingly, we combine the PEGASIS topology architecture and intersection-based coverage algorithm (IBCA) to decrease the energy consumption. First of all, we find out the redundant sensor nodes to enter to the sleep mode by means of IBCA. Then, it builds the PEGASIS topology architecture by active sensor nodes which are not chosen to enter to sleep mode by IBCA. Through a series of simulations, the performances of our novel scheme outperform LEACH with PBCA in terms of energy consumption, number of alive nodes and sensing areas.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于交点的无线传感器网络PEGASIS结构覆盖算法
在无线传感器网络中,传感器节点的能量是有限的,如何降低节点的能量消耗,延长整个网络的使用寿命是一个重要的问题。在能量高效采集传感器信息系统(pEGASIS)拓扑结构中,每个传感器节点的能量消耗比低能量自适应聚类结构(LEACH)更少且更平均。因此,我们将PEGASIS拓扑结构与基于交集的覆盖算法(IBCA)相结合,以降低能耗。首先,我们利用IBCA找出冗余的传感器节点进入休眠模式。然后,利用IBCA不选择进入休眠模式的主动传感器节点构建PEGASIS拓扑结构;通过一系列的仿真,我们的新方案在能量消耗、活动节点数量和感知区域方面都优于PBCA的LEACH。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ROBUST H∞ filtering for a class of nonlinear uncertain singular systems with time-varying delay Discriminati on between external short circuit and internal winding fault in power transformer using discrete wavelet transform and back-propagation neural network Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm Transcriptional cooperativity in molecular dynamics based on normal mode analysis An efficient web document clustering algorithm for building dynamic similarity profile in Similarity-aware web caching
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1