GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks

L
LCN
2005
The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l
Abstract - GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks

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	Similar Articles Articles by Samik Ghosh Articles by Preetam Ghosh Articles by Kalyan Basu Articles by Sajal K. Das

The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l

Sydney, Australia

November 15-November 17

ISBN: 0-7695-2421-4

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

	BibTex	x
	@article{ 10.1109/LCN.2005.72, author = {Samik Ghosh and Preetam Ghosh and Kalyan Basu and Sajal K. Das}, title = {GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks}, journal ={Local Computer Networks, Annual IEEE Conference on}, volume = {0}, year = {2005}, issn = {0742-1303}, pages = {374-381}, doi = {http://doi.ieeecomputersociety.org/10.1109/LCN.2005.72}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Local Computer Networks, Annual IEEE Conference on TI - GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks SN - 0742-1303 SP374 EP381 A1 - Samik Ghosh, A1 - Preetam Ghosh, A1 - Kalyan Basu, A1 - Sajal K. Das, PY - 2005 KW - null VL - 0 JA - Local Computer Networks, Annual IEEE Conference on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/LCN.2005.72

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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