• DocumentCode
    169264
  • Title

    RFID reader network optimization for hospital management

  • Author

    Chui-Yu Chiu ; Po-Chou Shih ; I-Ting Kuo ; Cheng-Hsin Ke

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2014
  • fDate
    21-23 May 2014
  • Firstpage
    603
  • Lastpage
    608
  • Abstract
    Effective and efficient health care management is critical to today´s hospital environment. The collaboration and real-time control of multiple radio frequency identification(RFID) in tracking patients and facilities in a hospital can dramatically improve hospital management. However, there are collisions occurring between readers which cause the faulty or missing reads in the network of RFID readers. Layout of the readers to reduce the total system transaction time or response time is known to be complex problem. In this research, a RFID network layout method is proposed which integrates genetic algorithms and binary particle swarm optimization. The proposed method is utilized to solve RFID network problems. Finally, a Client/Server model with 15 RFID readers is proposed and solved by GA-BPSO which minimizes the total transaction time.
  • Keywords
    genetic algorithms; health care; particle swarm optimisation; radiofrequency identification; RFID reader network optimization; binary particle swarm optimization; client-server model; genetic algorithms; health care management; hospital environment; hospital management; patient tracking; radiofrequency identification; real-time control; total system transaction time; Genetic algorithms; Hospitals; Interference; Particle swarm optimization; Radiofrequency identification; Sociology; Statistics; Collisions; Hospital management; RFID reader network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/CSCWD.2014.6846913
  • Filename
    6846913