{"title":"一种基于权重的移动Ad Hoc网络聚类算法","authors":"Wei-dong Yang, Guang-zhao Zhang","doi":"10.1109/ICWMC.2007.14","DOIUrl":null,"url":null,"abstract":"Ad hoc network is a kind of multi-hop self-organizing network, which is dynamic in nature due to the mobility of nodes. Many mobile ad hoc applications depend on the hierarchical structure, and clustering is the most popular method to impose a hierarchical structure in the mobile ad hoc networks. Only is some single factor is considered in most existing clustering algorithms, they have very limited application scenarios. In this paper, we propose a novel weight-based clustering algorithm (WBCA). The proposed clustering algorithm takes the mean connectivity degree and battery power of mobile nodes into consideration. Analysis and simulation of the algorithm have been implemented and validity of the algorithm has been proved.","PeriodicalId":366935,"journal":{"name":"2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":"{\"title\":\"A Weight-Based Clustering Algorithm for Mobile Ad Hoc Network\",\"authors\":\"Wei-dong Yang, Guang-zhao Zhang\",\"doi\":\"10.1109/ICWMC.2007.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ad hoc network is a kind of multi-hop self-organizing network, which is dynamic in nature due to the mobility of nodes. Many mobile ad hoc applications depend on the hierarchical structure, and clustering is the most popular method to impose a hierarchical structure in the mobile ad hoc networks. Only is some single factor is considered in most existing clustering algorithms, they have very limited application scenarios. In this paper, we propose a novel weight-based clustering algorithm (WBCA). The proposed clustering algorithm takes the mean connectivity degree and battery power of mobile nodes into consideration. Analysis and simulation of the algorithm have been implemented and validity of the algorithm has been proved.\",\"PeriodicalId\":366935,\"journal\":{\"name\":\"2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"65\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWMC.2007.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWMC.2007.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65
摘要
Ad hoc网络是一种多跳自组织网络,由于节点的移动性而具有动态性。许多移动自组网应用依赖于分层结构,而集群是在移动自组网中实现分层结构的最常用方法。现有的聚类算法大多只考虑了单个因素,应用场景非常有限。本文提出了一种新的基于权重的聚类算法(WBCA)。本文提出的聚类算法考虑了移动节点的平均连接度和电池电量。对该算法进行了分析和仿真,验证了算法的有效性。
A Weight-Based Clustering Algorithm for Mobile Ad Hoc Network
Ad hoc network is a kind of multi-hop self-organizing network, which is dynamic in nature due to the mobility of nodes. Many mobile ad hoc applications depend on the hierarchical structure, and clustering is the most popular method to impose a hierarchical structure in the mobile ad hoc networks. Only is some single factor is considered in most existing clustering algorithms, they have very limited application scenarios. In this paper, we propose a novel weight-based clustering algorithm (WBCA). The proposed clustering algorithm takes the mean connectivity degree and battery power of mobile nodes into consideration. Analysis and simulation of the algorithm have been implemented and validity of the algorithm has been proved.