2nd International ICST Conference on Broadband Networks

Research Article

Joint routing and scheduling in multi-radio multi-channel multi-hop wireless networks

  • @INPROCEEDINGS{10.1109/ICBN.2005.1589668,
        author={Jihui Zhang and Haitao Wu and Qian Zhang and Bo Li},
        title={Joint routing and scheduling in multi-radio multi-channel multi-hop wireless networks},
        proceedings={2nd International ICST Conference on Broadband Networks},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2006},
        month={2},
        keywords={},
        doi={10.1109/ICBN.2005.1589668}
    }
    
  • Jihui Zhang
    Haitao Wu
    Qian Zhang
    Bo Li
    Year: 2006
    Joint routing and scheduling in multi-radio multi-channel multi-hop wireless networks
    BROADNETS
    IEEE
    DOI: 10.1109/ICBN.2005.1589668
Jihui Zhang1, Haitao Wu2, Qian Zhang2, Bo Li1
  • 1: Dept. of Computer Science, Hong Kong Univ. of Science and Technology, P. R. China
  • 2: Microsoft Research, Asia, No.49, ZhiChun Rd., Beijing, 100080, P. R. China

Abstract

Recent advances in multi-radio multi-channel transmission technology have the potential of substantially improving the system capacity in multi-hop wireless networks. While previous work has primarily focused on the link level protocol design, in this paper we investigate the achievable performance gain, by jointly optimizing routing and scheduling in a multi-radio multichannel multi-hop network. We formulate the optimization under a deterministic model, and we seek to minimize overall system activation time in use to satisfy given end-to-end traffic demands subjected to the multi-access interference among neighboring transmissions and the radio interface constraint at each node. The exact solution to such an optimization problem is prohibitively complex due to the combinatorial complexity, particularly with the deployment of multi-radio and multi-channel. We develop a column generation based approach to solve this problem, which decomposes the original problem into sub-problems and solves them iteratively. Numerical results are given, and discussions as well as insights into the performance aspects for multi-radio multichannel deployment are provided.