• DocumentCode
    604644
  • Title

    An energy efficient hybrid co-operative spectrum sensing technique for CRSN

  • Author

    Hareesh, K. ; Singh, Prashant

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol. Rourkela, Rourkela, India
  • fYear
    2013
  • fDate
    22-23 March 2013
  • Firstpage
    438
  • Lastpage
    442
  • Abstract
    Cognitive Radio Sensor Networks (CRSN) demands energy efficient and a cost effective co-operative spectrum sensing techniques which performs well in fading and shadowing environment with optimum values of sensing parameters at low computational complexities. A cluster-based co-operative network architecture, an appropriate choice for effective operation of dynamic spectrum management in CRSN is considered with hybrid spectrum sensing capability. A new energy efficient hybrid co-operative spectrum sensing technique which associates energy and Eigen value based detectors is proposed to improve the sensing efficiency and sensing reliability to enhance the performance of CRSN. All CRSN nodes are equipped with simple energy detectors and the additional task of detection using Eigen value based detectors is being assigned to a detection center. The Data fusion center is responsible for the decision making rules with an eye on the requirements of low energy consumption and low computational complexity of CRSN. Simulation results clarifies the choice for Eigen value based spectrum sensing scheme and makes a comparison between the proposed hybrid scheme and a cyclostationary based hybrid scheme.
  • Keywords
    cognitive radio; communication complexity; cooperative communication; decision making; eigenvalues and eigenfunctions; radio spectrum management; sensor fusion; wireless sensor networks; CRSN; cognitive radio sensor networks; computational complexities; data fusion; decision making; dynamic spectrum management; eigenvalue; energy efficient hybrid cooperative spectrum sensing technique; fading environment; shadowing environment; Cognitive radio; Covariance matrices; Detectors; Energy efficiency; Noise; Wireless sensor networks; Eigen Value Detection; Energy Efficiency; Hybrid; Spectrum Sensing; cognitive Radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
  • Conference_Location
    Kottayam
  • Print_ISBN
    978-1-4673-5089-1
  • Type

    conf

  • DOI
    10.1109/iMac4s.2013.6526451
  • Filename
    6526451