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Maximizing Wireless Mesh Network Coverage

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  • Luke Shillington
  • Daoqin Tong

Abstract

As an emerging technology, wireless communication revolutionizes the way data are shared and transferred. In particular, wireless mesh network (WMN) technology allows data transmission from one node to another without extensive cabling. In this article, spatial characteristics of maximal covering problems are explored, and a novel spatial optimization model is proposed for WMN topology planning. The model selects the optimal locations for network infrastructure to achieve the maximal coverage of spatial demand. Additionally, important WMN design requirements have been accounted for, including network topology and throughput capacity. The validity of the model is tested through a WMN deployment developed for an emergency medical service application in Tucson, Arizona.

Suggested Citation

  • Luke Shillington & Daoqin Tong, 2011. "Maximizing Wireless Mesh Network Coverage," International Regional Science Review, , vol. 34(4), pages 419-437, October.
  • Handle: RePEc:sae:inrsre:v:34:y:2011:i:4:p:419-437
    DOI: 10.1177/0160017610396011
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    References listed on IDEAS

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    1. Bilal Farhan & Alan Murray, 2006. "Distance decay and coverage in facility location planning," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(2), pages 279-295, June.
    2. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    3. Akella, Mohan R. & Batta, Rajan & Delmelle, Eric M. & Rogerson, Peter A. & Blatt, Alan & Wilson, Glenn, 2005. "Base station location and channel allocation in a cellular network with emergency coverage requirements," European Journal of Operational Research, Elsevier, vol. 164(2), pages 301-323, July.
    4. Daoqin Tong & Alan T. Murray, 2009. "Maximising coverage of spatial demand for service," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 85-97, March.
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    Cited by:

    1. Ting Lei & Daoqin Tong, 2013. "Hedging against service disruptions: an expected median location problem with site-dependent failure probabilities," Journal of Geographical Systems, Springer, vol. 15(4), pages 491-512, October.
    2. Li, Ran & Tong, Daoqin, 2017. "Incorporating activity space and trip chaining into facility siting for accessibility maximization," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 1-14.
    3. He, Zhou & Fan, Bo & Cheng, T.C.E. & Wang, Shou-Yang & Tan, Chin-Hon, 2016. "A mean-shift algorithm for large-scale planar maximal covering location problems," European Journal of Operational Research, Elsevier, vol. 250(1), pages 65-76.

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