• DocumentCode
    2567593
  • Title

    Adaptive Service Framework Based on Grey Decision-Making in the Internet of Things

  • Author

    Liu, Jianhua ; Tong, Weiqin

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Shanghai Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the internet of things(IoT) environment, the dynamic service is the use of resource allocation, service composition and service methods such as internal adjustment of the system to achieve an important mechanism for QoS management, in the device layer, dynamic service provides a flexible self-adaptive applications for RFID. However, smart devices such as mobile reader of resources are scarce in the internet of things, in addition,the wireless sensor devices form more intelligent environment interface, so the more interface access to fewer resources,which greatly reduce the network objects together intelligence, it is necessary to call the interface of IoT dynamic allocation of resources, composition, adjustment, thereby enhancing the IoT network and intelligent applications. In this article, in the complex networked environment a self-adaptive dynamic service was introduced, a novel adaptive method proposed, the method for a control decision-making system to reduce the consumption of devices resources, and the effect measure adjustment based QoS dynamic service.
  • Keywords
    Internet; decision making; quality of service; resource allocation; Internet; QoS management; adaptive service framework; complex networked environment; dynamic service; grey decision making; resource allocation; self-adaptive applications; Adaptation model; Computational modeling; Context; Decision making; Internet; Quality of service; Radiofrequency identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5601403
  • Filename
    5601403