Genetic algorithms for self-spreading nodes in MANETs

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Genetic algorithms for self-spreading nodes in MANETs

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 10th annual conference on Genetic and evolutionary computation table of contents

Atlanta, GA, USA

POSTER SESSION: Genetic algorithms posters table of contents

Pages 1141-1142

Year of Publication: 2008

ISBN:978-1-60558-130-9

Authors

Cem Safak Sahin	The City University of New York, New York, NY, USA
Elkin Urrea	The City University of New York, New York, NY, USA
M. Umit Uyar	The City University of New York, New York, NY, USA
M. Conner	The City University of New York, New York, NY, USA
Ibrahim Hokelek	Telcordia Technologies, Piscataway, NJ, USA
Michael Conner	The City University of New York, New York, NY, USA
Giorgio Bertoli	U.S. Army Comm.-Electronics RD&E Center, Fort Monmouth, NJ, USA
Christian Pizzo	U.S. Army Comm.-Electronics RD&E Center, Fort Monmouth, NJ, USA

Sponsors

ACM: Association for Computing Machinery
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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ACM New York, NY, USA

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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..

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	N. Heo and P.K. Varshney. A distributed self spreading algorithm for mobile wireless sensor networks. In IEEE Wireless Communications and Networking, pp.1597--1602, 2003.
	2	M.U. UYAR, I. HOKELEK, and M. A. FECKO. Random-walk based analysis of virtual backbone in manets. In Proc. of IASTED/CCN 2005, pp.132--137, 2005.
	3	E. URREA, C.S. SAHIN, M.U. UYAR, M. CONNER, I. HOKELEK, G. BERTOLI, and C. PIZZO. Simulation experiments for knowledge sharing agents using genetic algorithms in manets. In Proc. of Int. Conference on Artificial Intelligence and Pattern Recognition, pp.369--376, 2007.
	4	E. URREA, C.S. SAHIN, M.U. UYAR, M. CONNER, I. HOKELEK, G. BERTOLI, and C. PIZZO. Uniform manet node distribution for mobile agents using genetic algorithms. In Proc. of the 2007 Int. Conference on Genetic and Evolutionary Methods, pp.24--30,2007.