Genetic algorithms for self-spreading nodes in MANETs

Authors:
Cem Safak Sahin;Elkin Urrea;M. Umit Uyar;M. Conner;Ibrahim Hokelek;Michael Conner;Giorgio Bertoli;Christian Pizzo
Affiliations:
The City University of New York, New York, NY, USA;The City University of New York, New York, NY, USA;The City University of New York, New York, NY, USA;The City University of New York, New York, NY, USA;Telcordia Technologies, Piscataway, NJ, USA;The City University of New York, New York, NY, USA;U.S. Army Comm.-Electronics RD&E Center, Fort Monmouth, NJ, USA;U.S. Army Comm.-Electronics RD&E Center, Fort Monmouth, NJ, USA
Venue:
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Year:
2008

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Transactions on Computational Science XV

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Abstract

We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genetic algorithm, where each mobile node exchanges its genetic information of speed and direction encoded in its chromosomes with the neighboring nodes. Simulation experiments show encouraging results for the performance of our force-based genetic algorithm with respect to normalized area coverage..