An evolutionary computation approach for designing mobile ad hoc networks

This paper presents the topological design of ad hoc networks in terms of distances among static nodes and speeds of mobiles nodes. Due to the complexity of the problem and the number of parameters to be considered, a genetic algorithm combined with the simulation environment NS-2 is proposed to fin...

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Published inExpert systems with applications Vol. 39; no. 8; pp. 6838 - 6845
Main Authors Gutiérrez-Reina, D., Toral Marín, S.L., Johnson, P., Barrero, F.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.06.2012
Subjects
Computer simulation
Fitness
Genetic algorithm
Genetic algorithms
Genetics
Mathematical models
Mobile ad hoc networks (MANETs)
Networks
NS-2
Railway engineering
Searching
Vehicular ad hoc networks (VANETs)
Mobile ad hoc networks (MANETs)
Vehicular ad hoc networks (VANETs)
Genetic algorithm
NS-2
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Summary:This paper presents the topological design of ad hoc networks in terms of distances among static nodes and speeds of mobiles nodes. Due to the complexity of the problem and the number of parameters to be considered, a genetic algorithm combined with the simulation environment NS-2 is proposed to find the optimum solution. More specifically, NS-2 provides the fitness function guiding the genetic search. The proposed framework has been tested using a railway scenario in which several static and mobile nodes are interacting. Results show the feasibility of the proposed framework and illustrate the possibility of genetic approach for solving similar application scenarios.
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ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2012.01.012