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[Author] Seung-Man CHUN(2hit)

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  • Fast Mobility Management for Delay-Sensitive Applications Using Multiple Tunnels in Vehicular Networks

    Jong-Tae PARK  Seung-Man CHUN  

     
    PAPER-Network

      Vol:
    E95-B No:5
      Page(s):
    1689-1701

    Most of the IP mobility management schemes based on the IETF's MIPv6 may not be suitable for delay-sensitive vehicular applications since there will be frequent service disruptions as the moving vehicles frequently change their points of wireless network attachment. This paper presents a fast IP mobility management scheme for vehicular networks where multiple wireless network interfaces are used to perform fast handovers without handover latency or packet loss. In order to do this, the IETF standard HMIPv6 has been extended, where multiple simultaneous tunnels between the HMIPv6 mobility anchor point (MAP) and the mobile gateway are dynamically constructed. We have designed the architecture for a mobile gateway for supporting multiple tunnels, the structure of the extension MAP (E-MAP), and the signaling procedure to achieve fast IP handover in vehicular networks. Both mathematical analysis and simulation have been done for performance evaluation. The results show that the proposed scheme is superior to HMIPv6 and MIPv6 with regard to handover latency and packet loss as the vehicle moves between different wireless network cells at high speed.

  • Localization of Wi-Fi Access Point Using Smart Phone's GPS Information

    Seung-Man CHUN  Seung-Mu LEE  Jae-Wook NAH  Jong-Tae PARK  

     
    LETTER-Network System

      Vol:
    E96-B No:1
      Page(s):
    305-308

    Precise localization of the Wi-Fi Access Point (AP) is becoming increasingly important with the rise of diverse location-based and smart phone-based services. In this article, we propose a new method for precise Wi-Fi AP localization using GPS information of a smart phone. The idea is that the possible area of Wi-Fi AP location, termed AP_Area, is first determined by measuring GPS information and the received signal strength of smart phones. As the number of measurements from users' smart phones increases, the AP_Area is successively narrowed down to the true AP location. Simulation shows the proposed algorithm can detect the Wi-Fi AP's localization within 5 m (probability exceeds 90%).

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