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Artificial Intelligence and Evolutionary Computations in Engineering Systems pp 1019–1028Cite as

Self-organization Strategies for Hierarchical Network Structure in Wireless Ad Hoc Networks: A Short Survey

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

Wireless Ad Hoc networks are popular for critical applications due to characteristics such as simplicity, low cost, and no central administration. These networks are infrastructure less and not comparable with traditional networks with infrastructure. Infrastructure networks are configured, managed, and administrated centrally. As no centralized administration is present, self-organization is used in wireless networks to create virtual topologies and communication among nodes of network. In this paper, we present a survey of strategies used by different researchers for achieving self-organization in wireless Ad Hoc networks and make the network robust, secure, and energy efficient.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, JJTU, Chudela, Rajasthan, 333001, India

    Dinesh A. Kulkarni

  2. Department of Computer Engineering, BVP’s, COE, Pune, 411043, India

    Suhas H. Patil

Authors
  1. Dinesh A. Kulkarni
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  2. Suhas H. Patil
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Corresponding author

Correspondence to Dinesh A. Kulkarni .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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© 2016 Springer India

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Kulkarni, D.A., Patil, S.H. (2016). Self-organization Strategies for Hierarchical Network Structure in Wireless Ad Hoc Networks: A Short Survey. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_94

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_94

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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