• DocumentCode
    653294
  • Title

    Synthetic Evaluation of the Trustworthiness of Integrated Monitoring-Controlling System for LED Display Based on Fuzzy AHP

  • Author

    Yuanmei Wen ; Li Luo ; Xuechen Yu ; Yanyu Chen

  • Author_Institution
    Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1089
  • Lastpage
    1093
  • Abstract
    To serve the trustworthiness demand of large-scale monitoring & control system based on Internet of things (IOT), the fuzzy theory combined with Analytic Hierarchy Process (AHP) is explored in the LED display monitoring & control system´s trustworthiness evaluation. Based on the designed architecture of integrated monitoring & control system for LED display, it puts forward the index system and FAHP based trustworthiness evaluation model. According to living example validating, the model solves the problems from fuzziness and variety of trustworthiness indexes, and meets the needs of trustworthiness evaluation for complex monitoring & control system base on IOT.
  • Keywords
    Internet of Things; LED displays; analytic hierarchy process; fuzzy set theory; monitoring; FAHP based trustworthiness evaluation model; IOT; Internet of things; LED display monitoring & control system; analytic hierarchy process; complex monitoring & control system base; designed architecture; fuzziness; fuzzy AHP; fuzzy theory; index system; integrated monitoring & control system; integrated monitoring-controlling system; large-scale monitoring & control system; living example validation; synthetic evaluation; trustworthiness demand; trustworthiness index; Control systems; Educational institutions; Indexes; Light emitting diodes; Monitoring; Security; Vectors; Fuzzy AHP; Monitoring & Controlling System; Trustworthiness Evaluation; index system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.187
  • Filename
    6682201