• DocumentCode
    1933355
  • Title

    Paralleling Temperature Monitoring in Large Scale Sensor Network with Energy Constrains

  • Author

    Hu, Hua

  • Author_Institution
    Zhejiang Gongshang Univ., Hangzhou
  • Volume
    5
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    2667
  • Lastpage
    2672
  • Abstract
    In large scale temperature monitoring environment, there will be thousands to tens thousands temperature sensors deployed to monitor the entire environment. These temperature sensors will be organized in two layers, where several central computers serve as the information center and some single-chip Microcontrollers serve as the hypogenous bridge connected with the detail sensors. While the performance is of great importance, the sensor network is of energy constrains. In order to maximize the performance and keep the energy usage under control, the monitoring and controlling procedures are typically designed manually and case by case. In this paper, the engagement model will be cataloged and the 3 models will be evaluated in performance and synchronization requirement. On this basis, a general model is built to support the engineers to establish the procedure automatically.
  • Keywords
    microcontrollers; temperature sensors; energy constraint; large scale sensor network; large scale temperature monitoring; temperature sensor; Automatic control; Computerized monitoring; Condition monitoring; Cybernetics; Large-scale systems; Machine learning; Power engineering and energy; Protocols; Temperature measurement; Temperature sensors; Engagement model analysis; Large scale temperature monitoring; Performance evaluation; Sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370600
  • Filename
    4370600