• DocumentCode
    1858436
  • Title

    P2P Object Tracking in the Internet of Things

  • Author

    Wu, Yanbo ; Sheng, Quan Z. ; Ranasinghe, Damith

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA, Australia
  • fYear
    2011
  • fDate
    13-16 Sept. 2011
  • Firstpage
    502
  • Lastpage
    511
  • Abstract
    With recent advances in technologies such as radio-frequency identification (RFID) and new standards such as the electronic product code (EPC), large-scale traceability is emerging as a key differentiator in a wide range of enterprise applications (e.g., counterfeit prevention, product recalls, and pilferage reduction). Such traceability applications often need to access data collected by individual enterprises in a distributed environment. Traditional centralized approaches (e.g., data ware-housing) are not feasible for these applications due to their unique characteristics such as large volume of data and sovereignty of the participants. In this paper, we describe an approach that enables applications to share traceability data across independent enterprises in a pure Peer-to-Peer (P2P) fashion. Data are stored in local repositories of participants and indexed in the network based on structured P2P overlays. In particular, we present a generic approach for efficiently indexing and locating individual objects in large, distributed traceable networks, most notably, in the emerging environment of the Internet of Things. The results from extensive experiments show that our approach scales well in both data volume and network size.
  • Keywords
    information retrieval; object tracking; peer-to-peer computing; radiofrequency identification; Internet of Things; P2P object tracking; RFID; data access; data storage; distributed traceable networks; electronic product code; generic approach; large-scale traceability; peer-to-peer approach; radiofrequency identification; structured P2P overlays; Artificial neural networks; Indexing; Internet; Logic gates; Peer to peer computing; Vegetation; Internet of Things; Peer-to-Peer systems; RFID; scalability; traceable networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing (ICPP), 2011 International Conference on
  • Conference_Location
    Taipei City
  • ISSN
    0190-3918
  • Print_ISBN
    978-1-4577-1336-1
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2011.14
  • Filename
    6047218