改进的同心聚类路由方案,适应传感器网络的各种环境

Chitiz Gupta, Rahul Jain, R. Lohia, R. Shankar, S. Tapaswi
{"title":"改进的同心聚类路由方案,适应传感器网络的各种环境","authors":"Chitiz Gupta, Rahul Jain, R. Lohia, R. Shankar, S. Tapaswi","doi":"10.1109/ICCDA.2010.5541264","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks con sist of sink nodes and multiple sensor nodes that monitor environmental conditions such as pressure, temperature, etc. The main constraint associated with sensor nodes is energy consumption. The Extended Concentric-Clustering Routing Scheme ECCRS [1] is a hybrid mechanism that unifies the chain-based scheme PEGASIS and the clustering scheme. In this paper, we improve the energy consumption in ECCRS further by improving the energy and distance parameters. In our approach, the sensor field is divided into various levels and each level has the same node density as well as the same number of nodes, for which the radius of each level is adjusted accordingly. To improve the energy factor in ECCRS, our proposed scheme creates a set of probable candidates for cluster heads. The cluster head formation of a level from its probable candidate set takes into account the minimum distance between the higher level cluster head the nodes of the probable candidates set of the same level. The simulation results show that our approach is 13% more efficient as compared to ECCRS in terms of energy consumption.","PeriodicalId":190625,"journal":{"name":"2010 International Conference On Computer Design and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved Concentric Clustering Routing Scheme adapted to various environments of sensor networks\",\"authors\":\"Chitiz Gupta, Rahul Jain, R. Lohia, R. Shankar, S. Tapaswi\",\"doi\":\"10.1109/ICCDA.2010.5541264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor networks con sist of sink nodes and multiple sensor nodes that monitor environmental conditions such as pressure, temperature, etc. The main constraint associated with sensor nodes is energy consumption. The Extended Concentric-Clustering Routing Scheme ECCRS [1] is a hybrid mechanism that unifies the chain-based scheme PEGASIS and the clustering scheme. In this paper, we improve the energy consumption in ECCRS further by improving the energy and distance parameters. In our approach, the sensor field is divided into various levels and each level has the same node density as well as the same number of nodes, for which the radius of each level is adjusted accordingly. To improve the energy factor in ECCRS, our proposed scheme creates a set of probable candidates for cluster heads. The cluster head formation of a level from its probable candidate set takes into account the minimum distance between the higher level cluster head the nodes of the probable candidates set of the same level. The simulation results show that our approach is 13% more efficient as compared to ECCRS in terms of energy consumption.\",\"PeriodicalId\":190625,\"journal\":{\"name\":\"2010 International Conference On Computer Design and Applications\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference On Computer Design and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCDA.2010.5541264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference On Computer Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCDA.2010.5541264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

无线传感器网络由汇聚节点和多个传感器节点组成,用于监测环境条件,如压力、温度等。与传感器节点相关的主要约束是能量消耗。扩展同心聚类路由方案ECCRS[1]是将基于链的PEGASIS路由方案和聚类路由方案结合起来的一种混合机制。在本文中,我们通过改进能量和距离参数进一步提高ECCRS的能耗。在我们的方法中,传感器场被划分为不同的层次,每一层次具有相同的节点密度和相同的节点数,每一层次的半径相应调整。为了提高ECCRS的能量因子,我们提出的方案创建了一组可能的簇头候选。从一个级别的可能候选集形成一个级别的簇头时,考虑了高一级簇头与同一级别的可能候选集的节点之间的最小距离。仿真结果表明,与ECCRS相比,我们的方法在能耗方面的效率提高了13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Improved Concentric Clustering Routing Scheme adapted to various environments of sensor networks
Wireless sensor networks con sist of sink nodes and multiple sensor nodes that monitor environmental conditions such as pressure, temperature, etc. The main constraint associated with sensor nodes is energy consumption. The Extended Concentric-Clustering Routing Scheme ECCRS [1] is a hybrid mechanism that unifies the chain-based scheme PEGASIS and the clustering scheme. In this paper, we improve the energy consumption in ECCRS further by improving the energy and distance parameters. In our approach, the sensor field is divided into various levels and each level has the same node density as well as the same number of nodes, for which the radius of each level is adjusted accordingly. To improve the energy factor in ECCRS, our proposed scheme creates a set of probable candidates for cluster heads. The cluster head formation of a level from its probable candidate set takes into account the minimum distance between the higher level cluster head the nodes of the probable candidates set of the same level. The simulation results show that our approach is 13% more efficient as compared to ECCRS in terms of energy consumption.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Bandwidth allocation in virtual network based on traffic prediction Research of collision detection algorithm based on particle swarm optimization Fault diagnosis expert system of artillery radar based on neural network Improved Concentric Clustering Routing Scheme adapted to various environments of sensor networks PCAsim: A parallel cycle accurate simulation platform for CMPs
×
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