• DocumentCode
    590465
  • Title

    2.4 GHz IEEE 802.15.4 channel interference classification algorithm running live on a sensor node

  • Author

    Zacharias, S. ; Newe, Thomas ; O´Keeffe, S. ; Lewis, Elfed

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Univ. of Limerick, Limerick, Ireland
  • fYear
    2012
  • fDate
    28-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    IEEE 802.15.4, the basic standard behind ZigBee, is a low-power communication standard mostly operating in the free 2.4 GHz Industrial, Scientific and Medical (ISM) frequency band. This band is heavily used by many technologies sending with more power, therefore avoiding interference is an important task and knowledge of the spectrum is essential. This paper presents an algorithm and its actual implementation that classifies sources of interference from a Received Signal Strength Indication (RSSI) noise floor reading of a single IEEE 802.15.4 channel. This algorithm can identify WLAN and Bluetooth traffic as well as the interference generated by microwave ovens with a second of RSSI measurements. It can run on off-the-shelf sensor node hardware. Since there is no need to change the channel, the node is continuously connected to its network with full message receiving capability.
  • Keywords
    Zigbee; interference suppression; pattern classification; wireless sensor networks; Bluetooth traffic; IEEE 802.15.4 channel interference classification algorithm; RSSI measurements; RSSI noise floor; WLAN; frequency 2.4 GHz; industrial scientific and medical frequency band; interference avoidance; low-power communication standard; message receiving capability; off-the-shelf sensor node hardware; received signal strength indication noise floor; Bluetooth; Classification algorithms; IEEE 802.15 Standards; Interference; Ovens; Wireless LAN; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2012 IEEE
  • Conference_Location
    Taipei
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4577-1766-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2012.6411279
  • Filename
    6411279