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A Clustering-Based Channel Assignment Algorithm and Routing Metric for Multi-channel Wireless Mesh Networks

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Parallel and Distributed Processing and Applications (ISPA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4742))

Abstract

Multiple non-overlapped channels are available in IEEE 802.11 but are rarely used today in wireless multi-hop networks. Wireless mesh network is a special type of multi-hop ad hoc network and is envisioned to provide high capacity and large coverage. In this paper, we propose a 2-hop clustering based multi-interface, multi-channel network architecture and design a novel channel assignment algorithm and routing metric. Channel assignment is composed of Inter-cluster Static Assignment and Intra-cluster Dynamic Assignment. Since traditional routing metrics, such as hop-count, may not perform well in multi-channel wireless networks, we propose the CDM routing metric, which combines hop-count, channel diversity and channel switching capability together. Simulation results show that our algorithms achieve up to 3.3 times higher end-to-end throughput.

This research has been supported by NSCF of china under Grant 60673181. Partially supported by NSCF Grant 60573166 and Network Key Lab Grant of Guang Dong Province.

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Ivan Stojmenovic Ruppa K. Thulasiram Laurence T. Yang Weijia Jia Minyi Guo Rodrigo Fernandes de Mello

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© 2007 Springer-Verlag Berlin Heidelberg

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Liu, C., Liu, Z., Liu, Y., Zhao, H., Zhao, T., Yan, W. (2007). A Clustering-Based Channel Assignment Algorithm and Routing Metric for Multi-channel Wireless Mesh Networks. In: Stojmenovic, I., Thulasiram, R.K., Yang, L.T., Jia, W., Guo, M., de Mello, R.F. (eds) Parallel and Distributed Processing and Applications. ISPA 2007. Lecture Notes in Computer Science, vol 4742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74742-0_74

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  • DOI: https://doi.org/10.1007/978-3-540-74742-0_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74741-3

  • Online ISBN: 978-3-540-74742-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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