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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109074


    Title: A Fuzzy Based Adaptive Gateway Discovery Algorithm for Hybrid Multi-hop Wireless Networks
    Authors: Srivastava, Prakash;Kumar, Rakesh
    Keywords: MANET;Fuzzy Logic;Adaptive Gateway Discovery;TTL (Time-to-live);Handover
    Date: 2016-09
    Issue Date: 2017-01-03 09:49:17 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: The portable devices such as mobile phones, laptops or personal digital assistants (PDAs) are
    used by mobile ad hoc networks (MANETs) for communication establishment in a spontaneous
    manner. For fulfilling the coverage requirements of future 4G we need integration of mobile ad hoc
    network with Internet to enhance the pervasiveness and flexibility of networks. It is necessary for
    mobile nodes to identify and choose an optimal gateway among multiple gateways for Internet access.
    Therefore, a mechanism for gateway discovery is needed. The adaptive gateway discovery can be
    configured by dynamically adjusting its TTL value (proactive area) on the basis of several parameters
    like number of active source nodes, traffic load at the gateway and link changes. Existing schemes
    involve inaccurate estimation of optimal proactive area, hence they suffer from large routing overhead
    which ultimately affects the network performance and throughput. This paper aims to develop a novel
    and efficient adaptive gateway discovery algorithm focusing on optimal TTL value by utilizing the
    potential and capability of Fuzzy logic, which makes a significant impact on routing overhead during
    gateway discovery. The proposed scheme also incorporates efficient handover in the situation of
    multiple gateways so that single gateway will not become a bottleneck. The proposed approach is
    evaluated using computer simulation and also analytically validated. Results show our approach
    outperforming existing ones.
    Relation: Journal of Applied Science and Engineering 19(3), pp.371-384
    DOI: 10.6180/jase.2016.19.3.15
    Appears in Collections:[淡江理工學刊] 第19卷第3期

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