• DocumentCode
    235461
  • Title

    Horizontal hierarchy slicing based data compression for WSN

  • Author

    Yanwen Wang ; Xiaoyu Li ; Xiaoling Wu ; Zhangbing Zhou ; Hainan Chen

  • Author_Institution
    Guangzhou Inst. of Adv. Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    255
  • Lastpage
    260
  • Abstract
    Data compression on sensing data in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Especially, in video sensor networks, the video and image data that need to be transmitted are relatively larger than common data. However WSNs usually have limited power supply and constrained communication bandwidth, it is significant to reduce the video and image data without any distortion before transmission to lower the energy consumption and the transmission delay. Therefore, in this paper we propose Horizontal Hierarchy Slicing (HHS) method based on Mathematical Morphology technology for compressing the data in WSNs. The results show its effectiveness in data compression for video and image data.
  • Keywords
    data compression; energy consumption; mathematical morphology; synchronisation; telecommunication power management; video coding; wireless sensor networks; HHS method; WSN; communication bandwidth; data compression; energy consumption; horizontal hierarchy slicing method; image data; mathematical morphology technology; power supply; sensing data; transmission delay; video data; video sensor networks; wireless sensor networks; Data compression; Delays; Encoding; Image coding; Image reconstruction; Monitoring; Wireless sensor networks; Horizontal Hierarchy Slicing; Mathematical Morphology; Wireless Sensor Networks (WSNs); data compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4813-0
  • Type

    conf

  • DOI
    10.1109/ComComAp.2014.7017206
  • Filename
    7017206