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This article is part of the series Novel Techniques for Analysis and Design of Cross-Layer Optimized Wireless Sensor Networks.

Open Access Research Article

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

Esa Hyytiä1* and Jorma Virtamo2

Author Affiliations

1 The Telecommunications Research Center Vienna (ftw.), Donau-City Strasse 1, Vienna 1220, Austria

2 Networking Laboratory, Helsinki University of Technology, P.O. Box 3000, 02015 TKK, Finland

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EURASIP Journal on Wireless Communications and Networking 2007, 2007:016932  doi:10.1155/2007/16932

The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2007/1/016932


Received:29 September 2006
Accepted:13 March 2007
Published:15 May 2007

© 2007 Hyytiä and Virtamo

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.

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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