{"title":"Practical Routing Protocol for Impromptu Mobile Social Networks","authors":"Xiao Chen, Zhen Jiang, Kaiqi Xiong, Jian Shen","doi":"10.1109/EUC.2014.45","DOIUrl":null,"url":null,"abstract":"With the popularity of mobile devices, mobile social networks (MSNs) formed by people carrying mobile devices moving around and contacting each other have become a hot research topic these days. In this paper, we study a specific kind of MSNs that is formed impromptu (e.g. when people carrying mobile devices gather at some social events). We refer to them as Impromptu Mobile Social Networks (IMSNs). Due to the dynamic nature of such networks, routing poses special challenges. The existing social-based MSN routing algorithms that take advantage of stable social relationships or social features of people in the network may not be suitable for IMSNs. Thus, new routing algorithms that can catch node contact behavior need to be designed for IMSNs. We first propose two statistical-based theoretical routing algorithms named BerRout and PoiRout inspired by the node contact models in several papers and then put forward a practical routing algorithm UpDown which makes routing decisions based on a simple Counter capturing the ups and downs of people's relationships formed in an IMSN. We compare our algorithms with the existing social-based MSN routing algorithms by simulations. The results show that the practical algorithm performs close to the two theoretical ones and all of our proposed algorithms outperform the existing ones in terms of performance versus cost in an IMSN environment.","PeriodicalId":331736,"journal":{"name":"2014 12th IEEE International Conference on Embedded and Ubiquitous Computing","volume":"85 S60","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 12th IEEE International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2014.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the popularity of mobile devices, mobile social networks (MSNs) formed by people carrying mobile devices moving around and contacting each other have become a hot research topic these days. In this paper, we study a specific kind of MSNs that is formed impromptu (e.g. when people carrying mobile devices gather at some social events). We refer to them as Impromptu Mobile Social Networks (IMSNs). Due to the dynamic nature of such networks, routing poses special challenges. The existing social-based MSN routing algorithms that take advantage of stable social relationships or social features of people in the network may not be suitable for IMSNs. Thus, new routing algorithms that can catch node contact behavior need to be designed for IMSNs. We first propose two statistical-based theoretical routing algorithms named BerRout and PoiRout inspired by the node contact models in several papers and then put forward a practical routing algorithm UpDown which makes routing decisions based on a simple Counter capturing the ups and downs of people's relationships formed in an IMSN. We compare our algorithms with the existing social-based MSN routing algorithms by simulations. The results show that the practical algorithm performs close to the two theoretical ones and all of our proposed algorithms outperform the existing ones in terms of performance versus cost in an IMSN environment.
随着移动设备的普及,人们携带移动设备四处走动、相互联系而形成的移动社交网络(mobile social network, msn)成为当今研究的热点。在本文中,我们研究了一种特定的即时形成的微信(例如,当人们携带移动设备聚集在一些社交活动中)。我们将其称为即兴移动社交网络(IMSNs)。由于这种网络的动态性,路由提出了特殊的挑战。现有的基于社交的MSN路由算法,利用网络中人们稳定的社交关系或社交特征,可能不适用于IMSNs。因此,需要为IMSNs设计新的路由算法来捕捉节点的接触行为。受多篇论文中节点接触模型的启发,我们首先提出了两种基于统计的理论路由算法BerRout和PoiRout,然后提出了一种实用的路由算法UpDown,该算法基于一个简单的计数器来捕捉IMSN中形成的人际关系的起伏,从而做出路由决策。我们通过仿真将我们的算法与现有的基于社交的MSN路由算法进行了比较。结果表明,实际算法的性能接近两种理论算法,并且在IMSN环境中,我们提出的所有算法在性能与成本方面都优于现有算法。