• DocumentCode
    2260033
  • Title

    P2P-Based Semantic Policy Infrastucture for Pervasive Computing

  • Author

    Pu, Fang ; Liu, Linlang ; Shen, Yu ; Cao, Qiying

  • Author_Institution
    Informationization Office, Donghua Univ., Shanghai, China
  • fYear
    2010
  • fDate
    11-14 Dec. 2010
  • Firstpage
    541
  • Lastpage
    545
  • Abstract
    The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that unobtrusively support to contextual data collecting, information sharing and security privacy controlling. In this paper, we motivate a human-centric design for such an infrastructure to support context-aware applications. A novel peer to peer based semantic policy infrastructure for pervasive computing, PSPI, is presented. The core of PSPI is a scalable and self-organizing peer-to-peer overlay to dynamically support semantic policy management according to the context in the pervasive computing applications. And the semantic specification of policy and dynamic policy implementation are described. The experience and lessons learned when using PSPI to support Smart-conference scenario demonstrate that PSPI is effective to facilitate both the development and deployment of context-aware pervasive-computing applications.
  • Keywords
    ontologies (artificial intelligence); peer-to-peer computing; ubiquitous computing; P2P-based semantic policy infrastructure; PSPI infrastructure; context-aware pervasive computing; contextual data collection; distributed software infrastructure; information sharing; peer-to-peer infrastructure; security privacy control; smart-conference scenario; context aware; ontology; peer to peer; pervasive computing; policy infrastructure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2010 International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-9114-8
  • Electronic_ISBN
    978-0-7695-4297-3
  • Type

    conf

  • DOI
    10.1109/CIS.2010.124
  • Filename
    5696340