• DocumentCode
    634871
  • Title

    A P2P Delivery Method for Sensor Data Stream Based on Load Estimation from Collection Cycles

  • Author

    Kawakami, Tomoya ; Ishi, Yoshimasa ; Yoshihisa, Tomoki ; Teranishi, Yuuichi

  • Author_Institution
    Grad. Sch. of Eng., Kobe Univ., Kobe, Japan
  • fYear
    2013
  • fDate
    22-26 July 2013
  • Firstpage
    289
  • Lastpage
    294
  • Abstract
    Due to the prevalence of sensors such as security cameras or environmental monitoring, sensor data stream delivery which means delivering the observed data continuously attracts great attention. For sensor data stream delivery, receivers collect data in various cycle by the use of them. We proposed a P2P-based method to distribute communication loads in the case of delivering the sensor data stream that have different data collection cycles. Although the existing method distributes communication loads by re-delivering the sensor data that have the same collection time, the load concentration to the longer cycle receivers is probable. Therefore, we propose a P2P delivery method to distribute communication loads by the estimation of each receiver´s loads and re-delivering from the lowest load receiver. We evaluated the effectiveness of proposal in simulation. By the result of simulations, we confirmed the load distribution in the case of many receivers at same time.
  • Keywords
    data mining; peer-to-peer computing; P2P delivery method; P2P-based method; communication loads; data collection cycles; environmental monitoring; load concentration; load distribution; load estimation; load receiver; longer cycle receivers; security cameras; sensor data stream delivery; Cameras; Data models; Educational institutions; Estimation; Load modeling; Receivers; Streaming media; collection cycle; data stream; distributed processing; load estimation; path selection; sensor data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
  • Conference_Location
    Japan
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2013.126
  • Filename
    6605804