• DocumentCode
    168532
  • Title

    Sensor Localization via Diversely Polarized Antennas

  • Author

    Marinho, M.A.M. ; de Freitas, Edison P. ; da Costa, Joao Paulo C. L. ; de Sousa, Rafael T.

  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    Wireless sensor networks (WSNs) are currently employed in a vast number of different applications ranging from home automation and health care to military systems. Although their application may vary greatly, WSNs share a common set of characteristics such as a limited energy supply and simple hardware. A common issue related with the application of WSNs is sensor localization, for some types of applications it is important that the sensors know the relative or absolute position of other sensors in the network, such as surveillance of monitoring networks. If sensors are randomly placed they may resort a wide range of methods such as Global Navigation Satellite Systems (GNSS) or received signal strength indicators (RSSI). In this work we present an alternative to relative sensor localization by employed a crossed dipole antenna in the reception and a known polarization in the transmission. The accuracy of the proposed methods is measured trough numerical simulations and results are presented.
  • Keywords
    dipole antennas; numerical analysis; satellite navigation; wireless sensor networks; GNSS; Global Navigation Satellite Systems; RSSI; WSN; crossed dipole antenna; diversely polarized antennas; health care; home automation; military systems; monitoring networks surveillance; numerical simulations; received signal strength indicators; sensor localization; wireless sensor networks; Antenna arrays; Dipole antennas; Direction-of-arrival estimation; Estimation; Global Positioning System; Signal to noise ratio; Wireless sensor networks; Sensor Localization; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on
  • Conference_Location
    Marina Del Rey, CA
  • Type

    conf

  • DOI
    10.1109/DCOSS.2014.54
  • Filename
    6846185