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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/55101

    Title: Reducing handoff delay of wireless access in vehicular environments by artificial neural network-based geographical fingerprint
    Authors: Wu, T.-Y.;Weng, W.-F.
    Contributors: 淡江大學電機工程學系
    Date: 2011-03
    Issue Date: 2011-08-11 17:12:01 (UTC+8)
    Publisher: Stevenage: The Institution of Engineering and Technology
    Abstract: Wireless access in vehicular environments (WAVE) can offer service to improve traffic safety and efficiency, and to reduce vehicle pollution. Compared with handheld devices, the chief terminals in vehicular environments, vehicles, have higher mobility. Thus, it can be anticipated that in such environments, the terminal devices may often move from one WAVE mode basic service set (WBSS) to another to exchange data and its probability for the handoff to occur is undoubtedly higher than handheld terminal devices. However, without taking high mobility into consideration, traditional IEEE 802.11 wireless transmissions were insufficient under acute moves. Furthermore, vehicular communications usually take place outdoors and the transmission quality might be influenced by other factors, like the weather. Based on different vehicular environments, this paper probes into the handoff and proposes to establish the geographical fingerprint by artificial neural network (ANN) and adjust the transmitted power of access points (APs) according to the weathers to maintain the service region and signal strength. By the measurements in advance, the handoff points can be established to reduce the handoff delay and the suitable handoff points be adjusted in accordance with vehicle speed.
    Relation: IET Communications 5(4), pp.542-553
    DOI: 10.1049/iet-com.2010.0195
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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