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A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks

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Computational Intelligence in Wireless Sensor Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 676))

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Abstract

Wireless Mesh Networks (WMNs), also referred to as a form of wireless ad hoc network are in fact one particular type of Wireless Sensor Networks (WSNs), whose topology can vary from a simple star network to an advanced multi-hop wireless mesh network. The main topological feature in this case is that nodes are organized in a mesh topology, making WMNs a reliable infrastructure through redundancy of multi-hop communications. The main issue of WMNs is to achieve network connectivity and stability as well as Quality of Service (QoS) in terms of user coverage. This problem is very closely related to the family of node placement problems in WMNs, among them, the mesh router mesh nodes placement. In this work we present some optimization problems in WMNs and Hill Climbing (HC) heuristic method for solving mesh router node placement near-optimally. We formulate the optimization problems using bi-objective optimization models. Thus, for the mesh router nodes placement, the bi-objective optimization problem is obtained consisting in the maximization of the size of the giant component in the mesh routers network (for measuring network connectivity) and that of user coverage. Some computational results are presented and discussed for the HC method, which is an effective local search method.

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Authors and Affiliations

  1. Polytechnic University of Tirana, Tirana, Albania

    Evjola Spaho

  2. Universitat Autònoma de Barcelona, Barcelona, Spain

    Alda Xhafa

  3. Fukuoka Institute of Technology, Fukuoka, Japan

    Donald Elmazi & Leonard Barolli

  4. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

Authors
  1. Evjola Spaho
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  2. Alda Xhafa
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  3. Donald Elmazi
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  4. Fatos Xhafa
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  5. Leonard Barolli
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Corresponding author

Correspondence to Evjola Spaho .

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Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Research & Engineering Division,Larus Technologies 170 Laurier Ave West - Suite 310,, Larus Technologies and School of Electrical Engineering and Computer Science, University of Ottawa 800 King Edward Ave, Ottawa, Ontario, Canada K1N 6N5, Ottawa, Ontario, Canada

    Rafael Falcon

  3. Department of Computer Science and Electronics, Kyushu Institute of Technology Graduate School of Creative Informatics, Fukuoka, Japan

    Mario Koeppen

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Spaho, E., Xhafa, A., Elmazi, D., Xhafa, F., Barolli, L. (2017). A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks. In: Abraham, A., Falcon, R., Koeppen, M. (eds) Computational Intelligence in Wireless Sensor Networks. Studies in Computational Intelligence, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-319-47715-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-47715-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47713-8

  • Online ISBN: 978-3-319-47715-2

  • eBook Packages: EngineeringEngineering (R0)

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