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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74667


    Title: Affinity Propagation with file similarity based clustering for P2P file sharing in VANET
    Authors: Jang, Hung-Chin;Tzeng, Li-Ji
    張宏慶;曾立吉
    Contributors: 資科系
    Keywords: Adaptive clusters;Affinity propagation;Average numbers;Broadcasting applications;Cluster architecture;Cluster head;Cluster management;Cluster-based;Clustering architecture;Hit ratio;Overlay structures;P2P file sharing;Peer to peer;Time interval;Traffic densities;VANET;Multimedia systems;Network performance;Vehicular ad hoc networks;Distributed computer systems
    Date: 2012
    Issue Date: 2015-04-17 14:02:45 (UTC+8)
    Abstract: Vehicular Ad-hoc Network (VANET) has been widely discussed and many issues have been identified these years. Due to VANET`s rapid change of structure and unstable properties, many studies proposed to use clustering architecture to improve network performance. However, most of the cluster architectures are suitable only for broadcasting applications and not applicable to p2p file sharing. In this paper, we propose a File-based Affinity Propagation Cluster (FAPC) that has the joint advantages of movement similarity and file similarity. Besides, FAPC uses adaptive cluster head election time to determine the most appropriate cluster time interval to elect cluster head adapting to traffic density. FAPC is proved to be applicable to p2p file sharing in VANET. Simulations results show that FAPC outperforms both Shea`s APROVE [1] and Taleb`s Social Cluster-based Overlay Structure [2] in terms of query hit ratio, retrieved file ratio, average number of clusters and average cluster head duration. © 2012 NiCT.
    Relation: International Symposium on Wireless Personal Multimedia Communications, WPMC, 70-74
    Data Type: conference
    Appears in Collections:[Department of Computer Science ] Proceedings

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