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Optimization of Handoff Latency Using Efficient Spectrum Sensing for CR System

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Progress in Computing, Analytics and Networking

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 710))

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Abstract

Cognitive radio (CR) is a new technology in wireless communications. Presently, we are facing spectrum scarcity problem. CR gives solution to spectrum scarcity problem. The idea behind cognitive radio is the utilization of unused frequency bands of primary or licensed users (PU) by secondary or unlicensed users (SU). This unused frequency band is called white spaces or spectrum hole. This scenario needs the demand of cognitive radio. Spectrum sensing is the main task in CR. Proposed system has used energy detection method for spectrum sensing by using new threshold formulations. Novel algorithm for optimized handoff decision using fuzzy logic and artificial neural network and proactive strategy is used for channel allocation. The proposed system saves the power and optimized handoff delay.

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Author information

Authors and Affiliations

  1. MAEERs MIT Polytechnic, Pune, India

    Rohini S. Kale

  2. ITM College of Engineering, Nagpur, India

    J. B. Helonde

Authors
  1. Rohini S. Kale
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  2. J. B. Helonde
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Corresponding author

Correspondence to J. B. Helonde .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  3. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Himansu Das

  4. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

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Cite this paper

Kale, R.S., Helonde, J.B. (2018). Optimization of Handoff Latency Using Efficient Spectrum Sensing for CR System. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_14

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  • DOI: https://doi.org/10.1007/978-981-10-7871-2_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7870-5

  • Online ISBN: 978-981-10-7871-2

  • eBook Packages: EngineeringEngineering (R0)

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