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Optimized interference aware joint channel assignment model for wireless mesh network

Author

Listed:
  • Saqib Ali

    (Universiti Teknologi Malaysia
    University of Agriculture)

  • Md Asri Ngadi

    (Universiti Teknologi Malaysia)

Abstract

In this paper, linear optimization is used to model the interference aware joint channel assignment problem in Wireless Mesh Networks. The model selects the channels for the interfering links such that interference is minimized, overall throughput of the network is maximized, and network capacity is fairly distributed among the interfering links. The interference is minimized by classifying the interfering links into four different classes depending upon the geometric location of the sender and receiver of a link (i.e., Sender Connected, Asymmetric Incomplete State, Symmetric Incomplete State, and Far Hidden interfering links). Further, the classes of interfering links are assigned with distinct channels through optimized spectral re-usability of joint channels available in 2.4 GHz ISM band. As a result, it increases the simultaneous transmissions among the interfering links which in turn increases the aggregate throughput of the network while ensuring that capacity is fairly distributed among the interfering links. Numerical results indicated that joint channel assignment model has achieved better performance than non-overlapping channel assignment models. Hence, this validates the model, which can serve as a benchmark in the design and deployment of wireless mesh networks.

Suggested Citation

  • Saqib Ali & Md Asri Ngadi, 2016. "Optimized interference aware joint channel assignment model for wireless mesh network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 215-230, May.
    • Handle: RePEc:spr:telsys:v:62:y:2016:i:1:d:10.1007_s11235-015-0076-8
    DOI: 10.1007/s11235-015-0076-8
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    References listed on IDEAS

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    1. Robert Fourer & David M. Gay & Brian W. Kernighan, 1990. "A Modeling Language for Mathematical Programming," Management Science, INFORMS, vol. 36(5), pages 519-554, May.
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