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Traffic load metrics for multihomed mobile IP and global connectivity

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Abstract

Support for host mobility an essential and necessary feature for roaming users who connect to wireless networks via access points. Access points may have different capabilities, be connected to different networks and be installed by different providers. A mobile host will discover multiple access points in this environment. In such an environment, a mobile host should be able to use the best available connection to communicate with a correspondent host and perhaps use multiple connections for different hosts. In areas with wireless local area network access, pockets with limited or no coverage could exist. Such restricted connectivity could be compensated by neighbor hosts who form an ad hoc network and relay packets until they reach an access point. This paper describes and discusses a proposed solution towards enabling and supporting connectivity in wireless networks. In the proposed solution the network layer software will evaluate and decide which wireless network connections to use. A Running Variance Metric (RVM) and a Relative Network Load(RNL) are used to measure the traffic load of access points in wireless access networks. RVM and RNL can be efficiently used for both infrastructure networks and ad hoc networks. Multihomed Mobile IP (M-MIP) is an extension of Mobile IP that enables mobile hosts to use multiple care-of addresses simultaneously. The extension enhances network connectivity by enabling the mobile host, the home agent and correspondent hosts to evaluate and select the best connection. A proposed gateway architecture using M-MIP that integrates wired IP networks with ad hoc networks is described. The M-MIP and gateway architecture using the RVM and RNL metrics have been validated with simulation studies and results are presented.

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Authors and Affiliations

  1. Division of Mobile Networking & Computing, Luleå University of Technology, SE-931 87, Skellefteå, Sweden

    Christer Åhlund

  2. Department of Computer Science, Luleä University of Technology, SE-971 87, Luleä, Sweden

    Robert Brännström

  3. School of Computer Science & Software Engineering, Monash University, 900 Dandenong Road, Caulfield East, Vic 3145, Melbourne, Australia

    Arkady Zaslavsky

Authors
  1. Christer Åhlund
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  2. Robert Brännström
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  3. Arkady Zaslavsky
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Corresponding author

Correspondence to Christer Åhlund.

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Åhlund, C., Brännström, R. & Zaslavsky, A. Traffic load metrics for multihomed mobile IP and global connectivity. Telecommun Syst 33, 155–185 (2006). https://doi.org/10.1007/s11235-006-9011-3

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  • DOI: https://doi.org/10.1007/s11235-006-9011-3

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