• DocumentCode
    71879
  • Title

    Power Consumption Analysis for Distributed Video Sensors in Machine-to-Machine Networks

  • Author

    Shao-Yi Chien ; Teng-Yuan Cheng ; Shun-Hsing Ou ; Chieh-Chuan Chiu ; Chia-Han Lee ; Somayazulu, V. Srinivasa ; Yen-Kuang Chen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    55
  • Lastpage
    64
  • Abstract
    Among different sensors used in machine-to-machine (M2M) networks, video sensors can provide the richest information. However, much higher bandwidth and power consumption limit the feasibility of wide deployment. To integrate visual data acquisition ability into M2M networks, the design of low-power distributed video sensors is the key. This paper presents the power analysis of distributed video sensors. The power profile of a distributed video sensor node is first shown from measurement results, followed by detailed discussion of video coding engine selection, where the state-of-the-art H.264/AVC coding engine is compared with distributed video coding engine. Moreover, the role of video content analysis is addressed. This paper can provide a fundamental basis for future distributed video sensor design.
  • Keywords
    Internet of Things; data acquisition; distributed sensors; sensor placement; video coding; M2M networks; bandwidth consumption; data acquisition; distributed video sensor design; machine-to-machine network; power consumption; power consumption analysis; power profile; sensor deployment; video coding engine; video content analysis; Distributed video analysis; Internet-of-Things (IoT); distributed video coding; distributed video sensor; machine-to-machine (M2M) network; perpetual video sensor;
  • fLanguage
    English
  • Journal_Title
    Emerging and Selected Topics in Circuits and Systems, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    2156-3357
  • Type

    jour

  • DOI
    10.1109/JETCAS.2013.2242771
  • Filename
    6471251