• DocumentCode
    1853949
  • Title

    Periodic Mobile Multi-Gateway Scheduling

  • Author

    Almi´ani, Khaled ; Selvadurai, S. ; Viglas, Anastasios

  • Author_Institution
    Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW
  • fYear
    2008
  • fDate
    1-4 Dec. 2008
  • Firstpage
    195
  • Lastpage
    202
  • Abstract
    Recently, using mobile gateway(s) as a mechanical data carries emerges as a promising approach to prolong sensor network lifetime and relaying information in partitioned network. These mobile gateways, which move in pre-determined paths, visit the sensors to upload their data. As the sensors data generation rate for different sensors may vary based on their locations, sensors need to be visited at different frequencies. In this paper, we present the problem of scheduling the mobile gatewayspsila path so that the sensorspsila visiting frequencies are satisfactory, and the sensorspsila data is uploaded to the sink at least at the frequency they are generated. We also prove that the problem is NP-Hard. In addition to integer linear programming formulation, a practical heuristic is also proposed and its performance is compared against the optimal results.
  • Keywords
    computational complexity; optimisation; travelling salesman problems; wireless sensor networks; NP-hard problem; integer linear programming; periodic mobile multi-gateway scheduling; practical heuristic; sensor network lifetime; travelling salesman problem; vehicle routing problem; wireless sensor network; Energy efficiency; Frequency; Integer linear programming; Job shop scheduling; Mechanical sensors; Mobile computing; Routing; Telecommunication traffic; Vehicles; Wireless sensor networks; mobile gateways; travelling salesman problem; vehicle routing problem; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies, 2008. PDCAT 2008. Ninth International Conference on
  • Conference_Location
    Otago
  • Print_ISBN
    978-0-7695-3443-5
  • Type

    conf

  • DOI
    10.1109/PDCAT.2008.36
  • Filename
    4710981