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Overcoming partitioning in large ad hoc networks using genetic algorithms
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual conference on Genetic and evolutionary computation table of contents
Montreal, Québec, Canada
SESSION: Track 12: parallel evolutionary systems table of contents
Pages 1347-1354  
Year of Publication: 2009
ISBN:978-1-60558-325-9
Authors
Grégoire Danoy  University of Luxembourg, Luxembourg, Luxembourg
Bernabé Dorronsoro  University of Luxembourg, Luxembourg, Luxembourg
Pascal Bouvry  University of Luxembourg, Luxembourg, Luxembourg
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We deal in this paper with the important problem of partitioning in ad hoc networks. In our approach, we assume that some devices might have other communication interfaces rather than Wi-Fi and/or Bluetooth allowing to connect remote devices (e.g., technologies such as GPRS or HSDPA). This would allow us to build hybrid networks for overcoming the network partitioning. Hence, the problem considered in this work is to establish remote links between devices (called bypass links) in order to maximize the QoS of the network by optimizing its properties to make it small world. Additionally, the number of this kind of links in the network should be minimized as well, since we consider that not all the devices have these communication capabilities, or it could be a requirement to minimize the use of the long range network (for example, in the case its use supposes some cost). We face the problem with four different GAs (both parallel and sequential) and compare their behaviors on six different network instances. All the algorithms were tested with a new encoding of the problem, which is demonstrated to provide more accurate results than the previously existing one.


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.

 
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T. Bäck, D. Fogel, and Z. Michalewicz, editors. Handbook of Evolutionary Computation. Oxford University Press, 1997.
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B. Dorronsoro, G. Danoy, P. Bouvry, and E. Alba. Evaluation of different optimization techniques in the design of ad hoc injection networks. In Opt. Issues in Grid and Parallel Computing Environments, part of the High Performance Comp. and Simulation Conf. (HPCS), pages 290--296, 2008.
 
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K. Herrmann and K. Geihs. Self-Organization in Mobile Ad hoc Networks based on the Dynamics of Interaction, 2003. Frühjahrstreffen der GI-Fachgruppe Betriebssysteme.
 
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L. Hogie, P. Bouvry, F. Guinand, G. Danoy, and E. Alba. Simulating Realistic Mobility Models for Large Heterogeneous MANETS. In ACM/IEEE Int. Symp. on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM'06), pages 129--141. IEEE, October 2006.
 
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F. Seredynski, A. Zomaya, and P. Bouvry. Function optimization with coevolutionary algorithms. In Intelligent Inf. Processing and Web Mining, pages 13--22. Springer, 2003.
 
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Collaborative Colleagues:
Grégoire Danoy: colleagues
Bernabé Dorronsoro: colleagues
Pascal Bouvry: colleagues