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EURASIP Journal on Wireless Communications and Networking

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  • Research Article
  • Open Access

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

EURASIP Journal on Wireless Communications and Networking20072007:016932

https://doi.org/10.1155/2007/16932

©  E. Hyytiä and J. Virtamo 2007

Received: 29 September 2006

Accepted: 13 March 2007

Published: 15 May 2007

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.

Keywords

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

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Authors’ Affiliations

(1)
The Telecommunications Research Center Vienna (ftw.), Vienna, Austria
(2)
Networking Laboratory, Helsinki University of Technology, Finland

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Copyright

© E. Hyytiä and J. Virtamo 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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