7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

Research Article

Optimal link scheduling and channel assignment for convergecast in linear WirelessHART networks

  • @INPROCEEDINGS{10.1109/WIOPT.2009.5291641,
        author={Haibo Zhang and Pablo Soldati and Mikael Johansson},
        title={Optimal link scheduling and channel assignment for convergecast in linear WirelessHART networks},
        proceedings={7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks},
        publisher={IEEE},
        proceedings_a={WIOPT},
        year={2009},
        month={10},
        keywords={Communication system security  Delay  Industrial control  Job shop scheduling  Monitoring  Network topology  Optimal control  Telecommunication network reliability  Wireless networks  Wireless sensor networks},
        doi={10.1109/WIOPT.2009.5291641}
    }
    
  • Haibo Zhang
    Pablo Soldati
    Mikael Johansson
    Year: 2009
    Optimal link scheduling and channel assignment for convergecast in linear WirelessHART networks
    WIOPT
    IEEE
    DOI: 10.1109/WIOPT.2009.5291641
Haibo Zhang1,*, Pablo Soldati1,*, Mikael Johansson1,*
  • 1: School of Electrical Engineering, KTH, SE-10044 Stockholm, Sweden
*Contact email: fhaibo.zhang@ee.kth.se, pablo.soldati@ee.kth.se, mikael.johanssong@ee.kth.se

Abstract

Convergecast, in which data from a set of sources is routed toward one data sink, is a critical functionality for wireless networks deployed for industrial monitoring and control. We address the joint link scheduling and channel assignment problem for convergecast in networks operating according to the recent WirelessHART standard. For a linear network with N single-buffer devices, we demonstrate that the minimum time to complete convergecast is 2N-1 time-slots, and that the minimum number of channels required for this operation is lceilN/2rceil. When the devices are allowed to buffer multiple packets, we prove that the optimal convergecast time remains the same while the number of required channels can be reduced to . For both cases, we present jointly time- and channel-optimal scheduling policies with complexity O(N2). Numerical results demonstrate that our schemes are also efficient in terms of memory utilization.