• DocumentCode
    70099
  • Title

    A Novel Deployment Scheme for Green Internet of Things

  • Author

    Jun Huang ; Yu Meng ; Xuehong Gong ; Yanbing Liu ; Qiang Duan

  • Author_Institution
    Dept. of Commun. & Inf. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • Volume
    1
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    196
  • Lastpage
    205
  • Abstract
    The Internet of Things (IoT) has been realized as one of the most promising networking paradigms that bridge the gap between the cyber and physical world. Developing green deployment schemes for IoT is a challenging issue since IoT achieves a larger scale and becomes more complex so that most of the current schemes for deploying wireless sensor networks (WSNs) cannot be transplanted directly in IoT. This paper addresses this challenging issue by proposing a deployment scheme to achieve green networked IoT. The contributions made in this paper include: 1) a hierarchical system framework for a general IoT deployment, 2) an optimization model on the basis of proposed system framework to realize green IoT, and 3) a minimal energy consumption algorithm for solving the presented optimization model. The numerical results on minimal energy consumption and network lifetime of the system indicate that the deployment scheme proposed in this paper is more flexible and energy efficient compared to typical WSN deployment scheme; thus is applicable to the green IoT deployment.
  • Keywords
    Internet of Things; green computing; numerical analysis; optimisation; cyber world; general IoT deployment; green Internet-of-things; hierarchical system framework; minimal energy consumption algorithm; network lifetime; networking paradigms; novel deployment scheme; optimization model; physical world; Base stations; Energy consumption; Energy efficiency; Green products; Optimization; Sensors; Wireless sensor networks; Deployment; Internet of Things (IoT); energy efficient; green;
  • fLanguage
    English
  • Journal_Title
    Internet of Things Journal, IEEE
  • Publisher
    ieee
  • ISSN
    2327-4662
  • Type

    jour

  • DOI
    10.1109/JIOT.2014.2301819
  • Filename
    6718032