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Variants of Evolutionary Algorithms for Real-World Applications pp 437–462Cite as

A Bio-inspired Approach to Self-organization of Mobile Nodes in Real-Time Mobile Ad Hoc Network Applications

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Abstract

In this chapter, we study the applicability and effectiveness of an evolutionary computation approach to a topology control problem in the domain of mobile ad hoc networks (manets). We present formal and practical aspects of convergence properties of our force-based genetic algorithm, called fga, which is run by each mobile node to achieve a uniform spread. Our fga is suitable for manet environments since mobile nodes, while running the fga, only use local neighborhood information. An inhomogeneous Markov chain is used to analyze the convergence speed of our bio-inspired algorithm. To demonstrate our topology control algorithm’s applicability to real-life problems and to evaluate its effectiveness, we have implemented a simulation software system and two testbed platforms. The simulation and testbed experiment results indicate that, for important performance metrics such as the normalized area coverage and convergence rate, the fga can be an effective mechanism to deploy mobile nodes with restrained communication capabilities in manets operating in unknown areas. Since the fga adapts to the local environment rapidly and does not require global network knowledge, it can be used as a real-time topology controller for realistic military and civilian applications.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, The Graduate Center of The City University of New York, NY, USA

    Cem Şafak Şahin & Elkin Urrea

  2. Department of Electrical Engineering, The City College of The City University of New York, NY, USA

    M. Ümit Uyar & Stephen Gundry

Authors
  1. Cem Şafak Şahin
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  2. Elkin Urrea
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  3. M. Ümit Uyar
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  4. Stephen Gundry
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Editor information

Editors and Affiliations

  1. Faculty of ICT, Swinburne University of Technology, 3122, Melbourne, VIC, Australia

    Raymond Chiong

  2. Nature Inspired Computation and Applications Laboratory School of Computer Science and Technology, University of Science and Technology of China (USTC), 230027, Hefei, Anhui, China

    Thomas Weise

  3. School of Computer Science, University of Adelaide, 5005, Adelaide, SA, Australia

    Zbigniew Michalewicz

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Şahin, C.Ş., Urrea, E., Uyar, M.Ü., Gundry, S. (2012). A Bio-inspired Approach to Self-organization of Mobile Nodes in Real-Time Mobile Ad Hoc Network Applications. In: Chiong, R., Weise, T., Michalewicz, Z. (eds) Variants of Evolutionary Algorithms for Real-World Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23424-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-23424-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23423-1

  • Online ISBN: 978-3-642-23424-8

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