一种基于权重的移动自组网能量感知分层聚类方案

A. Roda, Charu
{"title":"一种基于权重的移动自组网能量感知分层聚类方案","authors":"A. Roda, Charu","doi":"10.1109/IC3.2014.6897227","DOIUrl":null,"url":null,"abstract":"Clustering in MANETs is a hierarchical approach of partitioning the network, combing nodes and forming groups called Clusters. The paper focuses on implementing a Clustering technique that is Energy Aware, and provides Stability by using a weighted approach for the selection of Cluster-Heads (CHs) that takes different parameters like power, mobility etc. into account while selecting the CH and thereby reducing the chances of reconfiguration. Energy awareness of the scheme is based on minimization of energy consumption by creation of clusters where numbers of nodes depend on the energy required for the completion of tasks and tasks are distributed amongst clusters to get Balanced Load. In addition, to provide stability and to be able to achieve all the tasks assigned to the nodes, we propose grouping according to relative mobility and merging of clusters depending on the similar mobility pattern, thereby achieving a stable network which is continuous. The paper includes performance evaluation and characteristic analysis of our clustering scheme along with comparison with some of the existing algorithms which form the basis for our algorithm in order to show the strength of this scheme over others.","PeriodicalId":444918,"journal":{"name":"2014 Seventh International Conference on Contemporary Computing (IC3)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A weight based energy-aware hierarchical clustering scheme for mobile ad hoc networks\",\"authors\":\"A. Roda, Charu\",\"doi\":\"10.1109/IC3.2014.6897227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clustering in MANETs is a hierarchical approach of partitioning the network, combing nodes and forming groups called Clusters. The paper focuses on implementing a Clustering technique that is Energy Aware, and provides Stability by using a weighted approach for the selection of Cluster-Heads (CHs) that takes different parameters like power, mobility etc. into account while selecting the CH and thereby reducing the chances of reconfiguration. Energy awareness of the scheme is based on minimization of energy consumption by creation of clusters where numbers of nodes depend on the energy required for the completion of tasks and tasks are distributed amongst clusters to get Balanced Load. In addition, to provide stability and to be able to achieve all the tasks assigned to the nodes, we propose grouping according to relative mobility and merging of clusters depending on the similar mobility pattern, thereby achieving a stable network which is continuous. The paper includes performance evaluation and characteristic analysis of our clustering scheme along with comparison with some of the existing algorithms which form the basis for our algorithm in order to show the strength of this scheme over others.\",\"PeriodicalId\":444918,\"journal\":{\"name\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2014.6897227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2014.6897227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

manet中的聚类是一种分层方法,用于划分网络,梳理节点并形成称为簇的组。本文着重于实现一种能量感知的聚类技术,并通过使用加权方法选择簇头(CHs)来提供稳定性,该方法在选择CH时考虑了不同的参数,如功率,移动性等,从而减少了重新配置的机会。该方案的能源意识是基于通过创建集群来最小化能耗,其中节点数量取决于完成任务所需的能量,任务在集群之间分配以获得均衡负载。此外,为了保证网络的稳定性并能够完成分配给节点的所有任务,我们提出了根据相对迁移率进行分组,并根据相似的迁移模式对集群进行合并,从而获得一个稳定的连续网络。本文对我们的聚类方案进行了性能评价和特征分析,并与现有算法进行了比较,为我们的算法提供了基础,以显示该方案的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A weight based energy-aware hierarchical clustering scheme for mobile ad hoc networks
Clustering in MANETs is a hierarchical approach of partitioning the network, combing nodes and forming groups called Clusters. The paper focuses on implementing a Clustering technique that is Energy Aware, and provides Stability by using a weighted approach for the selection of Cluster-Heads (CHs) that takes different parameters like power, mobility etc. into account while selecting the CH and thereby reducing the chances of reconfiguration. Energy awareness of the scheme is based on minimization of energy consumption by creation of clusters where numbers of nodes depend on the energy required for the completion of tasks and tasks are distributed amongst clusters to get Balanced Load. In addition, to provide stability and to be able to achieve all the tasks assigned to the nodes, we propose grouping according to relative mobility and merging of clusters depending on the similar mobility pattern, thereby achieving a stable network which is continuous. The paper includes performance evaluation and characteristic analysis of our clustering scheme along with comparison with some of the existing algorithms which form the basis for our algorithm in order to show the strength of this scheme over others.
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
×
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