• DocumentCode
    3498776
  • Title

    Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems

  • Author

    Mateo, R.M.A. ; Salvo, M.A. ; Jaewan Lee ; Lee, Minhung

  • Author_Institution
    Electron. & Info. Eng., Kunsan Nat. Univ., Kunsan
  • Volume
    2
  • fYear
    2008
  • fDate
    11-13 Nov. 2008
  • Firstpage
    686
  • Lastpage
    691
  • Abstract
    The recent issues in healthcare systems are the mobility of the patients to do their normal work and at the same time monitored frequently by their physicians to be aware of the current condition of the patient. This research presents the ubiquitous and intelligent framework which is an efficient integration of software and hardware components of the ubiquitous healthcare system. The focus of our study is concerned about the senior citizens´ mobility and monitoring their condition using mobile agents. The efficient migration of physician agents to the base station provides QoS of monitoring the patient for the ubiquitous healthcare system. This paper proposes a novel clustering method of balancing the load distribution of resources represented by the mobile agents within the base stations and is called balanced clustering. Our proposed balancing scheme efficiently distributes the physician agents to all base station considering the transmission delays to optimize the use of resources.
  • Keywords
    geriatrics; health care; mobile agents; patient monitoring; ubiquitous computing; QoS; balanced clustering; load distribution; mobile agent; physician agents; senior citizen mobility; ubiquitous healthcare system; Base stations; Condition monitoring; Hardware; Load management; Medical services; Middleware; Mobile agents; Patient monitoring; Quality of service; Ubiquitous computing; Clustering; load balancing; ubiquitous healthcare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3407-7
  • Type

    conf

  • DOI
    10.1109/ICCIT.2008.323
  • Filename
    4682324