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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106178

    Title: Enhancing Junction-based Routing for Vehicular Ad-hoc Networks by Effective Routing Table Learning and Maintenance
    Authors: Po-Jen Chuang;Ming-Chun Liu
    Keywords: Vehicular ad-hoc networks (VANETs);vehicle-to-vehicle (V2V) environments;junction-based routing protocols;packet relay;experimental evaluation
    Date: 2016/01/31
    Issue Date: 2016-04-22 13:23:10 (UTC+8)
    Abstract: We present a new routing protocol in this paper to enhance junction-based routing for
    vehicle-to-vehicle (V2V) vehicular ad-hoc networks (VANETs). Employing effective
    routing table learning and maintenance, the new protocol is able to accomplish better
    transmission stability and lower transmission cost. In practice, the mechanism of routing
    table learning will help a vehicle establish its own static path information by which to
    locate suitable relay vehicles in a more efficient way, and the practice of routing table
    maintenance may substantially reduce the probability of finding no suitable relay vehicles,
    to avoid unnecessary packet discarding. Extended simulation is conducted to evaluate the
    performance of our new protocol and related routing protocols. The results exhibit that
    our protocol performs constantly better than others in terms of packet delivery ratios,
    packet drop ratios and average delay time. It ensures more efficient transmission without
    additional control overhead in highly mobile V2V VANETs.
    Relation: International Journal of Future Generation Communication and Networking 9(1), p.135-148
    DOI: 10.14257/ijfgcn.2016.9.1.13
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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