• DocumentCode
    3339130
  • Title

    Optimum Sensing Technique and Approach for Low Power Consumption Network

  • Author

    Jabbar, Hamid ; Kim, Taewan ; Kang, Jin-Suk ; Lee, Jangho ; Yang, Hyosik ; Sung, Meeyoung ; Park, Gyunleen ; Jeong, Taikyeong

  • Author_Institution
    Myongji Univ., Kyunggi
  • fYear
    2007
  • fDate
    20-22 Aug. 2007
  • Firstpage
    260
  • Lastpage
    263
  • Abstract
    This paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. This optimization technique can reduce power consumption by using wireless communicating sensors with a supervisor control. This supervisory control of the sensors gives it an advantage of being controllable from any embedded, desktop or Internet platform. Sensors for different purposes can work together to form a network which can be implemented in many environment like homes, city, hospitals and remote locations like mountains, forests etc. We employed an optimized sensing system and algorithm which reduced the number of sensors and power consumption.
  • Keywords
    low-power electronics; optimisation; power consumption; wireless sensor networks; low power consumption network; optimization technique; optimum sensing technique; ubiquitous sensor network; wireless communicating sensors; Computer networks; Energy consumption; Intelligent sensors; Pervasive computing; Robot sensing systems; Sensor systems; Supervisory control; Telecommunication computing; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    0-7695-2867-8
  • Type

    conf

  • DOI
    10.1109/SERA.2007.103
  • Filename
    4296944