Energy efficient spectrum sensing for cognitive radio network using artificial bee colony algorithm

  • Authors

    • Geoffrey Eappen VIT VELLORE
    • Dr T. Shankar
    https://doi.org/10.14419/ijet.v7i4.10094

    Received date: March 12, 2018

    Accepted date: August 21, 2018

    Published date: September 17, 2018

  • Cognitive Radio Network, Artificial Bee colony, Particle Swarm Optimization, Energy Efficiency.

  • Abstract

    In this paper Artificial Bee Colony (ABC) algorithm based optimization of energy efficiency for spectrum sensing in a Cognitive Radio Network (CRN) is implemented. ABC algorithm which is an efficient optimization technique is used for optimizing energy efficiency func-tion derived for cognitive users, where energy efficiency function is derived as the dependency on spectrum sensing time and the transmis-sion power. Energy efficiency optimized by ABC is compared with Particle Swarm Optimization (PSO) based technique. Simulation results shows that with ABC it is able to achieve more energy efficient spectrum sensing as compared to PSO optimized with a margin of 33% efficiency over PSO.

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  • How to Cite

    Eappen, G., & T. Shankar, D. (2018). Energy efficient spectrum sensing for cognitive radio network using artificial bee colony algorithm. International Journal of Engineering and Technology, 7(4), 2319-2324. https://doi.org/10.14419/ijet.v7i4.10094