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The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks
Sydney, Australia
November 15-November 17
ISBN: 0-7695-2421-4
Samik Ghosh, The University of Texas at Arlington
Preetam Ghosh, The University of Texas at Arlington
Kalyan Basu, The University of Texas at Arlington
Sajal K. Das, The University of Texas at Arlington

Wireless mesh based access networks are destined to play a pivotal role in next generation broadband systems. With the proliferation of mesh networks, a key issue for network designers is the design of an optimal mesh topology which minimizes cost while maintaining carrier-class features. In this paper, we formulate the design of an optimal mesh, taking network deployment cost, topological properties and carrier-grade reliability into account. Next, we present a Genetic Algorithm based algorithm (GaMa) for mesh topology design. We show that GaMa is capable of determining a generic mesh topology with carrier-class network features. The performance of the algorithm is compared with existing mesh topologies and gives improved results without the constraints of maintaining a regular topology.

Citation:
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. Das, "GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks," lcn, pp.374-381, The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l, 2005
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