{"title":"On the degree distribution of opportunistic networks","authors":"S. Ferretti","doi":"10.1145/1755743.1755771","DOIUrl":null,"url":null,"abstract":"This paper presents an analytical approach to model opportunistic networks, with mobile devices that may concurrently employ multiple networks. By modeling these systems as complex networks, it is possible to obtain information on the degree probability distribution of nodes. Such a metric provides insights on the connectivity of the opportunistic network. The analytical tool is assessed via simulation.","PeriodicalId":198518,"journal":{"name":"International Workshop on Mobile Opportunistic Networks","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Mobile Opportunistic Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1755743.1755771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents an analytical approach to model opportunistic networks, with mobile devices that may concurrently employ multiple networks. By modeling these systems as complex networks, it is possible to obtain information on the degree probability distribution of nodes. Such a metric provides insights on the connectivity of the opportunistic network. The analytical tool is assessed via simulation.