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Distributive routing and congestion control in wireless multihop ad hoc communication networks

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  • Glauche, Ingmar
  • Krause, Wolfram
  • Sollacher, Rudolf
  • Greiner, Martin

Abstract

Due to their inherent complexity, engineered wireless multihop ad hoc communication networks represent a technological challenge. Having no mastering infrastructure the nodes have to selforganize themselves in such a way that for example network connectivity, good data traffic performance and robustness are guaranteed. In this contribution the focus is on routing and congestion control. First, random data traffic along shortest path routes is studied by simulations as well as theoretical modeling. Measures of congestion like end-to-end time delay and relaxation times are given. A scaling law of the average time delay with respect to network size is revealed and found to depend on the underlying network topology. In the second step, a distributive routing and congestion control is proposed. Each node locally propagates its routing cost estimates and information about its congestion state to its neighbors, which then update their respective cost estimates. This allows for a flexible adaptation of end-to-end routes to the overall congestion state of the network. Compared to shortest-path routing, the critical network load is significantly increased.

Suggested Citation

  • Glauche, Ingmar & Krause, Wolfram & Sollacher, Rudolf & Greiner, Martin, 2004. "Distributive routing and congestion control in wireless multihop ad hoc communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 341(C), pages 677-701.
    • Handle: RePEc:eee:phsmap:v:341:y:2004:i:c:p:677-701
    DOI: 10.1016/j.physa.2004.04.126
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    References listed on IDEAS

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    1. Solé, Ricard V. & Valverde, Sergi, 2001. "Information transfer and phase transitions in a model of internet traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 595-605.
    2. Krause, Wolfram & Glauche, Ingmar & Sollacher, Rudolf & Greiner, Martin, 2004. "Impact of network structure on the capacity of wireless multihop ad hoc communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(3), pages 633-658.
    3. Martin Heusse & Dominique Snyers & Sylvain Guérin & Pascale Kuntz, 1998. "Adaptive Agent-Driven Routing and Load Balancing in Communication Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 1(02n03), pages 237-254.
    4. Glauche, Ingmar & Krause, Wolfram & Sollacher, Rudolf & Greiner, Martin, 2003. "Continuum percolation of wireless ad hoc communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(3), pages 577-600.
    5. Valverde, Sergi & Solé, Ricard V, 2002. "Self-organized critical traffic in parallel computer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(3), pages 636-648.
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    Cited by:

    1. Krause, Wolfram & Scholz, Jan & Greiner, Martin, 2006. "Optimized network structure and routing metric in wireless multihop ad hoc communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 707-723.
    2. Schönhof, Martin & Kesting, Arne & Treiber, Martin & Helbing, Dirk, 2006. "Coupled vehicle and information flows: Message transport on a dynamic vehicle network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 73-81.

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