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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013
    Pages438-442
    Number of pages5
    DOIs
    Publication statusPublished - 18-07-2013
    Event2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013 - Kerala, India
    Duration: 22-02-201323-02-2013

    Publication series

    NameProceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

    Conference

    Conference2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013
    Country/TerritoryIndia
    CityKerala
    Period22-02-1323-02-13

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Control and Systems Engineering

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