{"title":"An auto-configurable, and, adaptable, metric-driven cluster-head organisation for hybrid multi-hop routing","authors":"Nikos Migas, W. Buchanan","doi":"10.1109/ECBS.2006.23","DOIUrl":null,"url":null,"abstract":"Multi-hop ad-hoc routing is a challenging issue, because of the dynamic network topology, and limited capabilities of resource-constrained mobile devices. This paper proposes a metric-driven clustering organisation of participating nodes which provides an effective way to reduce network overhead, in contrast to traditional flooding methods. This novel method creates a network backbone for data routing and location management, which is composed of the fittest nodes. The key metrics are: mobility, buffering capabilities, throughput, network state, utilisation, and battery reserves. The paper presents the overall agent-based model, and describes the adaptability of the cluster-head metrics, and the automated reconfigurability of an ad-hoc network","PeriodicalId":430872,"journal":{"name":"13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS.2006.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-hop ad-hoc routing is a challenging issue, because of the dynamic network topology, and limited capabilities of resource-constrained mobile devices. This paper proposes a metric-driven clustering organisation of participating nodes which provides an effective way to reduce network overhead, in contrast to traditional flooding methods. This novel method creates a network backbone for data routing and location management, which is composed of the fittest nodes. The key metrics are: mobility, buffering capabilities, throughput, network state, utilisation, and battery reserves. The paper presents the overall agent-based model, and describes the adaptability of the cluster-head metrics, and the automated reconfigurability of an ad-hoc network