• DocumentCode
    1968805
  • Title

    A Novel Wireless Sensor Networks Platform for Habitat Surveillance

  • Author

    YingMing, Gao ; Rencheng, Jin

  • Author_Institution
    Key Lab. for Precision & Non-traditional Machining Technol., Dalian
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1028
  • Lastpage
    1031
  • Abstract
    Wireless sensor networks are more adaptive to habitat surveillance applications than other technique due to high distribution density and self-organization of tiny sensor nodes. This paper introduced a framework of wireless sensor networks combined with GPRS (General Packet Radio Service) for habitat monitoring. Detailed presentation of a novel sensor node making use of ARM technology and IEEE502.15.4 standard was given. This paper concerned on energy management issue, realizing a light-weight and constant duty cycle energy management policy similar to S-MAC (Sensor Medium Access Control). Minimum, maximum and average power consumption of sensor node, under different CPU and VPB frequency, were measured when node was running test program to finish networking and application function. The results help users choosing the most appropriate frequency to optimize power consumption.
  • Keywords
    IEEE standards; packet radio networks; telecommunication standards; wireless sensor networks; ARM technology; IEEE502.15.4 standard; constant duty cycle energy management policy; general packet radio service; habitat monitoring; habitat surveillance; power consumption; sensor medium access control; wireless sensor network; Adaptive systems; Energy consumption; Energy management; Frequency; Ground penetrating radar; Media Access Protocol; Monitoring; Packet radio networks; Surveillance; Wireless sensor networks; energy management; sensor nodes; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1185
  • Filename
    4722794