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Genetic algorithms for self-spreading nodes in MANETs

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Christian PizzoAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1141 - 1142

https://doi.org/10.1145/1389095.1389318

Published: 12 July 2008 Publication History

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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

[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.

Google Scholar

[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.

Google Scholar

[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.

Google Scholar

[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.

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Kusyk JUyar MSahin C(2018)Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networksEvolutionary Intelligence10.1007/s12065-018-0154-410:3-4(95-117)Online publication date: 18-May-2018
https://doi.org/10.1007/s12065-018-0154-4
Mehboob UQadir JAli SVasilakos A(2016)Genetic algorithms in wireless networkingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-016-2070-920:6(2467-2501)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s00500-016-2070-9
Gobel JKrzesinski A(2013)A model of self deployment to maximise area coverage in sensor networks2013 Australasian Telecommunication Networks and Applications Conference (ATNAC)10.1109/ATNAC.2013.6705348(7-12)Online publication date: Nov-2013
https://doi.org/10.1109/ATNAC.2013.6705348
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Genetic algorithms for self-spreading nodes in MANETs

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 12 July 2008

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GECCO08

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Kusyk JUyar MSahin C(2018)Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networksEvolutionary Intelligence10.1007/s12065-018-0154-410:3-4(95-117)Online publication date: 18-May-2018
https://doi.org/10.1007/s12065-018-0154-4
Mehboob UQadir JAli SVasilakos A(2016)Genetic algorithms in wireless networkingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-016-2070-920:6(2467-2501)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s00500-016-2070-9
Gobel JKrzesinski A(2013)A model of self deployment to maximise area coverage in sensor networks2013 Australasian Telecommunication Networks and Applications Conference (ATNAC)10.1109/ATNAC.2013.6705348(7-12)Online publication date: Nov-2013
https://doi.org/10.1109/ATNAC.2013.6705348
Kusyk JSahin CZou JGundry SUyar MUrrea E(2013)Game Theoretic and Bio-inspired Optimization Approach for Autonomous Movement of MANET NodesHandbook of Optimization10.1007/978-3-642-30504-7_6(129-155)Online publication date: 2013
https://doi.org/10.1007/978-3-642-30504-7_6
Şahin CUyar MGundry SUrrea E(2012)Self organization for area coverage maximization and energy conservation in mobile ad hoc networksTransactions on Computational Science XV10.5555/2184162.2184164(49-73)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.5555/2184162.2184164
Sahin CUrrea EUyar M(2012)Bio-Inspired Techniques for Topology Control of Mobile NodesFormal and Practical Aspects of Autonomic Computing and Networking10.4018/978-1-60960-845-3.ch009(217-240)Online publication date: 2012
https://doi.org/10.4018/978-1-60960-845-3.ch009
Gundry SZou JKusyk JSahin CUyar M(2012)Markov chain model for differential evolution based topology control in MANETs2012 35th IEEE Sarnoff Symposium10.1109/SARNOF.2012.6222729(1-5)Online publication date: May-2012
https://doi.org/10.1109/SARNOF.2012.6222729
Gundry SKusyk JZou JSahin CUyar M(2012)Performance evaluation of differential evolution based topology control method for autonomous MANET nodes2012 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2012.6249299(000228-000233)Online publication date: Jul-2012
https://doi.org/10.1109/ISCC.2012.6249299
Şafak Şahin CÜmit Uyar M(2012)Real‐time, decentralized and bio‐inspired topology control for holonomic autonomous vehiclesInternational Journal of Intelligent Computing and Cybernetics10.1108/175637812112558995:3(359-380)Online publication date: 17-Aug-2012
https://doi.org/10.1108/17563781211255899
Şahin CGundry SUyar M(2012)Markov Chain Analysis of Self-organizing Mobile NodesJournal of Intelligent and Robotic Systems10.1007/s10846-011-9649-267:2(133-153)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1007/s10846-011-9649-2
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Recommendations

Exploring optimised route selection strategy in tree- and mesh-based multicast routing in MANETs

Neural network crossover in genetic algorithms using genetic programming

Scalability of Network Size on Genetic Zone Routing Protocol for MANETs

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