2nd International ICST Conference on Communications and Networking in China

Research Article

A Distributed Channel Assignment for 802.11-based Multi-Radio Wireless Mesh Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469537,
        author={Deepesh Man Shrestha and Arun Ranjitkar and Young-Bae  Ko},
        title={A Distributed Channel Assignment for 802.11-based Multi-Radio Wireless Mesh Networks},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Communication system traffic control  Interference  Mesh networks  Network topology  Protocols  Routing  Spine  Telecommunication traffic  Wireless LAN  Wireless mesh networks},
        doi={10.1109/CHINACOM.2007.4469537}
    }
    
  • Deepesh Man Shrestha
    Arun Ranjitkar
    Young-Bae Ko
    Year: 2008
    A Distributed Channel Assignment for 802.11-based Multi-Radio Wireless Mesh Networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469537
Deepesh Man Shrestha1,*, Arun Ranjitkar2,*, Young-Bae Ko1,*
  • 1: Graduate School of Information and Communication, Ajou University, Korea
  • 2: Graduate School of Information and Communication Ajou University, Korea
*Contact email: deepesh@ajou.ac.kr, arun@ajou.ac.kr, youngko@ajou.ac.kr

Abstract

In this paper we propose a distributed channel assignment protocol (DCAP) for topology formation in the IEEE 802.11 based wireless mesh network. The non-overlapping channels are assigned to the network interfaces according to the simple heuristics (such as degree and node-ID) with the goals to enable connectivity and reduce interference in the network. Ns-2 simulation results are presented and compared with the solutions from integer linear programming (ILP) and the common channel assignment (CCA) algorithm. We measured the number of concurrent links, average throughput and the endto- end latency. We showed that the DCAP produces optimally connected topology and performs better in all cases compared to CCA.