• DocumentCode
    2207837
  • Title

    Minimum Interference Model in Wireless Sensor Network for Foul Environment in Workshop and Warehouse

  • Author

    Zhang, Yi-sheng ; Li, Min

  • Author_Institution
    State Key Lab. of Mater. Process. & Die & Mould Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    2965
  • Lastpage
    2967
  • Abstract
    Due to the low-rate radios used and the effects of wireless interferences in workshop and warehouse´s foul environment, traditional workshop and warehouse informatization system has many defaults, such as, manual business process management, information flowing delay after material flowing, high mistakes ratio, stacking and crane job schedule in a state of chaos, very much production waste, and hard to manage the storage. In this paper, First, we propose a technique to evaluate the quality of wireless signal in workshop and warehouse. Second, we propose a minimum interference model in wireless sensor network by discovering zone-disjoint paths for wireless signal, assigning a particular channel based on a channel assignment algorithm. With our prototype provide high-quality wireless signal in workshop and warehouse, workers can use wireless PDA follow the intelligently instruction to do multi-process material-flow-job scheduling, calculation and allocation of storage space, storage monitor, and production execution monitor.
  • Keywords
    flow shop scheduling; production management; radiofrequency interference; warehousing; wireless sensor networks; discovering zone-disjoint paths; information flowing delay; manual business process management; material-flow-job scheduling; minimum interference model; production execution monitor; warehouse informatization system; wireless interferences; wireless sensor network; wireless signal; workshop informatization system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.742
  • Filename
    5454524