• DocumentCode
    2837145
  • Title

    Network architecture and energy analysis of the integration of RFID and Wireless Sensor Network

  • Author

    Zhang, Beiwei ; Hu, KunYuan ; Zhu, Yunlong

  • Author_Institution
    Key Lab. of Ind. Inf., Chinese Acad. of Sci., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    1379
  • Lastpage
    1382
  • Abstract
    Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN) are two important components of ubiquitous computing. They have different advantages and application areas. The RFID sensor network, which integrates RFID into WSN, has both the advantage of RFID and WSN. In this paper, three common and one new compound network architectures are described in detail. Targeting RFID sensor network systems, which use distribute smart node network architecture and applies Basic Frame Slot Aloha (BFSA) as the MAC protocol for smart node to reading tags, the energy model and energy consumption of the smart node are proposed and analyzed. We use quantitative methodology to evaluate the energy consumption of a smart node, as well as give our computing formula to evaluate the lifetime of the smart node, and its feasibility is discussed thoroughly.
  • Keywords
    access protocols; radiofrequency identification; ubiquitous computing; wireless sensor networks; MAC protocol; RFID sensor network; basic frame slot Aloha; distribute smart node network architecture; energy analysis; energy consumption; energy model; radio frequency identification; ubiquitous computing; wireless sensor network; Automation; Computer architecture; Energy consumption; Intelligent sensors; Medical services; Monitoring; Pervasive computing; Radiofrequency identification; Ubiquitous computing; Wireless sensor networks; RFID; WSN; energy analysis; network architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498193
  • Filename
    5498193