• DocumentCode
    3609700
  • Title

    Green Internet of Things for Smart World

  • Author

    Chunsheng Zhu ; Leung, Victor C. M. ; Lei Shu ; Ngai, Edith C.-H

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    3
  • fYear
    2015
  • fDate
    7/7/1905 12:00:00 AM
  • Firstpage
    2151
  • Lastpage
    2162
  • Abstract
    Smart world is envisioned as an era in which objects (e.g., watches, mobile phones, computers, cars, buses, and trains) can automatically and intelligently serve people in a collaborative manner. Paving the way for smart world, Internet of Things (IoT) connects everything in the smart world. Motivated by achieving a sustainable smart world, this paper discusses various technologies and issues regarding green IoT, which further reduces the energy consumption of IoT. Particularly, an overview regarding IoT and green IoT is performed first. Then, the hot green information and communications technologies (ICTs) (e.g., green radio-frequency identification, green wireless sensor network, green cloud computing, green machine to machine, and green data center) enabling green IoT are studied, and general green ICT principles are summarized. Furthermore, the latest developments and future vision about sensor cloud, which is a novel paradigm in green IoT, are reviewed and introduced, respectively. Finally, future research directions and open problems about green IoT are presented. Our work targets to be an enlightening and latest guidance for research with respect to green IoT and smart world.
  • Keywords
    Internet of Things; information technology; sensors; Smart World; energy consumption; green ICT principles; green Internet of Things; green IoT; information and communications technologies; sensor cloud; sustainable smart world; Cloud computing; Data centers; Internet of things; Machine-to-machine communications; Radio frequency identification; Wireless sensor networks; Internet of Things; Smart world; cloud computing; data center; green; internet of things; machine to machine; radio frequency identification; radio-frequency identification; sensor-cloud; wireless sensor network;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2015.2497312
  • Filename
    7317502