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On Traffic Load Distribution and Load Balancing in Dense Wireless Multihop Networks

EURASIP Journal on Wireless Communications and Networking volume 2007, Article number: 016932 (2007) Cite this article

Abstract

We study the load balancing problem in a dense wireless multihop network, where a typical path consists of a large number of hops, that is, the spatial scales of a typical distance between source and destination and mean distance between the neighboring nodes are strongly separated. In this limit, we present a general framework for analyzing the traffic load resulting from a given set of paths and traffic demands. We formulate the load balancing problem as a minmax problem and give two lower bounds for the achievable minimal maximum traffic load. The framework is illustrated by considering the load balancing problem of uniformly distributed traffic demands in a unit disk. For this special case, we derive efficient expressions for computing the resulting traffic load for a given set of paths. By using these expressions, we are able to optimize a parameterized set of paths yielding a particularly flat traffic load distribution which decreases the maximum traffic load in the network by in comparison with the shortest-path routing.

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Affiliations

  1. The Telecommunications Research Center Vienna (ftw.), Donau-City Strasse 1, Vienna, 1220, Austria
    • Esa Hyytiä
  2. Networking Laboratory, Helsinki University of Technology, P.O. Box 3000, 02015 TKK, Finland
    • Jorma Virtamo
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  1. Esa Hyytiä
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  2. Jorma Virtamo
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Correspondence to Esa Hyytiä.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hyytiä, E., Virtamo, J. On Traffic Load Distribution and Load Balancing in Dense Wireless Multihop Networks. J Wireless Com Network 2007, 016932 (2007). https://doi.org/10.1155/2007/16932

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Keywords

  • Information System
  • Lower Bound
  • Spatial Scale
  • General Framework
  • Unit Disk