文章基本信息

标题：Leveraging Social Networks for P2P Content-Based File Sharing in Disconnected MANETs
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作者：Bhuvaneshwari D ; P Sreelakshmi
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：5
页码：12080-12085
出版社：IJECS
摘要：Current peer-to-peer (P2P) file sharing methods in mobile ad hoc networks (MANETs) can be classified into threegroups: flooding-based, advertisement-based, and social contact-based. The first two groups of methods can easily have highoverhead and low scalability. They are mainly developed for connected MANETs, in which end-to-end connectivity among nodesis ensured. The third group of methods adapts to the opportunistic nature of disconnected MANETs but fails to consider the socialinterests (i.e., contents) of mobile nodes, which can be exploited to improve the file searching efficiency. In this paper, we proposea P2P content based file sharing system, namely SPOON, for disconnected MANETs. The system uses an interest extractionalgorithm to derive a node’s interests from its files for content-based file searching. For efficient file searching, SPOON groupscommon-interest nodes that frequently meet with each other as communities. It takes advantage of node mobility by designatingstable nodes, which have the most frequent contact with community members, as community coordinators for intracommunitysearching, and highly mobile nodes that visit other communities frequently as community ambassadors for intercommunitysearching. An interest-oriented file searching scheme is proposed for high file searching efficiency. Additional strategies for fileprefetching, querying-completion, and loop prevention, and node churn consideration are discussed to further enhance the filesearching efficiency. We first tested our system on the GENI Orbit testbed with a real trace and then conducted event-drivenexperiment with two real traces and NS2 simulation with simulated disconnected and connected MANET scenarios. The testresults show
关键词：MANETs; content-based file sharing; social networks