• DocumentCode
    157040
  • Title

    The adaptive node-selection mechanism scheme in solar-powered wireless sensor networks

  • Author

    Gwo-Jiun Horng ; Tun-Yu Chang

  • Author_Institution
    Dept. of Inf. Manage., Fortune Inst. of Technol., Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study also proposes a solar power-based adaptive node-selection protocol mechanism for a wireless sensor network to increase the monitor performance of wireless sensors. Using renewable energy, such as solar power, to improve the efficiency of sensors in wireless sensor networks has become a popular topic. Equipping the sensors with solar-powered equipment signifies that the sensors no longer have the limited battery life problem. This design can collect solar power to charge the sensor´s battery. To solve node-selection problem, an adaptive node-selection mechanism (ANSM) scheme is proposed. The algorithm builds the energy-aware Steiner tree between sensors and sink. This scheme selects the least active node to reduce the overlapping of the sensor coverage but ensure constant coverage of the target area in solar-powered wireless sensor networks. This approach also considers the solar power consuming rate and humidity to solve the solar power problem in various environments.
  • Keywords
    solar power; telecommunication power supplies; wireless sensor networks; adaptive node-selection mechanism scheme; energy-aware Steiner; humidity; node-selection problem; renewable energy; sinks; solar power consuming rate; solar power-based adaptive node-selection protocol mechanism; solar-powered equipment; solar-powered wireless sensor networks; Batteries; Humidity; Monitoring; Sensor systems; Solar energy; Wireless sensor networks; Node-selection algorithm; Scheduling; Sensor Deployment; Solar-powered WSN; Stream Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/IGBSG.2014.6835268
  • Filename
    6835268