• DocumentCode
    3577235
  • Title

    Communication Energy Aware Sensor Selection in IoT Systems

  • Author

    Zhenqiu Huang ; Kwei-Jay Lin ; Congmiao Li ; Sen Zhou

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, Irvine, CA, USA
  • fYear
    2014
  • Firstpage
    235
  • Lastpage
    242
  • Abstract
    To prolong the IoT system lifetime, a system should minimize the energy comsumption on devices. The RF communication energy cost is dependent on the communication distance. This paper presents a communication distance aware methodology for mapping and deploying IoT applications on sensor devices in a physical environment. Given a flow-based service process, WuKong will select and set up the most efficient configuration for the process. The sensor selection methodology reported in this paper takes the communication distance into consideration in order to minimize the communication energy consumption. We define a quadratic programming based problem model, and present algorithms based on the Integer Linear Programming (ILP) model. We show the algorithm performance by simulation.
  • Keywords
    Internet of Things; integer programming; linear programming; quadratic programming; sensor placement; telecommunication power management; wireless sensor networks; IoT systems; RF communication energy cost; Wukong project; communication distance aware method; communication energy aware sensor selection; flow based service process; integer linear programming; problem model; quadratic programming; Energy consumption; Internet of things; Middleware; Object oriented modeling; Programming; Quadratic programming; Sensors; Energy Optimization; Integer Linear Programming; Internet of Things; Quadratic Programming; Sensor Mapping; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.42
  • Filename
    7059667