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Overcoming partitioning in large ad hoc networks using genetic algorithms

Published: 08 July 2009 Publication History
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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.

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    G. Danoy, E. Alba, P. Bouvry, and M.R. Brust. Optimal design of ad hoc injection networks by using genetic algorithms. In GECCO '07, pages 2256--2256, 2007. ACM.
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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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    Cited By

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    • (2014)Proposed Optimization FrameworkEvolutionary Algorithms for Mobile Ad Hoc Networks10.1002/9781118833209.ch5(105-134)Online publication date: 2-May-2014
    • (2014)Summary and DiscussionEvolutionary Algorithms for Mobile Ad Hoc Networks10.1002/9781118833209.ch10(209-220)Online publication date: 2-May-2014
    • (2013)Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolutionComputers and Operations Research10.1016/j.cor.2011.11.01440:6(1552-1563)Online publication date: 1-Jun-2013
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    Published In

    cover image ACM Conferences
    GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
    July 2009
    2036 pages
    ISBN:9781605583259
    DOI:10.1145/1569901
    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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    New York, NY, United States

    Publication History

    Published: 08 July 2009

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    Author Tags

    1. cellular gas
    2. cooperative coevolutionary gas
    3. topology control

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    GECCO09
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    GECCO09: Genetic and Evolutionary Computation Conference
    July 8 - 12, 2009
    Québec, Montreal, Canada

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

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    View all
    • (2014)Proposed Optimization FrameworkEvolutionary Algorithms for Mobile Ad Hoc Networks10.1002/9781118833209.ch5(105-134)Online publication date: 2-May-2014
    • (2014)Summary and DiscussionEvolutionary Algorithms for Mobile Ad Hoc Networks10.1002/9781118833209.ch10(209-220)Online publication date: 2-May-2014
    • (2013)Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolutionComputers and Operations Research10.1016/j.cor.2011.11.01440:6(1552-1563)Online publication date: 1-Jun-2013
    • (2011)Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial OptimizationIntelligent Decision Systems in Large-Scale Distributed Environments10.1007/978-3-642-21271-0_3(49-74)Online publication date: 2011

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