• DocumentCode
    2874341
  • Title

    Research on Navigation Marks-Monitored Network System Based on WSN

  • Author

    Wei, Wu ; Zhang, Yanan ; Zhang, Fuxing ; Wang, Xinmei

  • Author_Institution
    Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    This paper studies a Navigation Marks Remote Monitoring and Control System (NMRMCS) based on Wireless Sensor Network (WSN) and Differential Global Positioning System (DGPS). We designed NMRMCS installed in mountain area using WSN and DGPS to increase the positioning precision of navigation marks. We tested communicating distance of nodes by measuring the signal strength both in open region and wooden region, and record the number of flashing LED on ARM board with CC2420 chip, and tested relative parameters in some fixed points using Received Signal Strength Indication (RSSI) provided by highly integrated single-chip CC2420 with a method of least square curve fitting. The tested results show that the mean positioning error of Navigation Marks is less 2.5 meters, are of less positioning error than traditional NMRMCS. We select low power consumption ZigBee protocol based on IEEE 802.15.4 and use low energy-consumption RSSI position algorithm to reduce energy-consumption of NMRMCS.
  • Keywords
    Global Positioning System; personal area networks; signal detection; wireless sensor networks; ARM board; CC2420 chip; IEEE 802.15.4; ZigBee protocol; differential global positioning system; flashing LED; navigation marks monitored network system; received signal strength indication; wireless sensor network; Control systems; Curve fitting; Global Positioning System; Least squares methods; Light emitting diodes; Navigation; Remote monitoring; Semiconductor device measurement; Testing; Wireless sensor networks; differential global positioning; low energy-consumption; navigation marks; remote monitoring and control; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.264
  • Filename
    5197251