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A novel spectrum sensing scheme with sensing time optimization for energy-efficient CRSNs

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Abstract

The cognitive radio technology enables secondary users (SUs) to occupy licensed bands when primary users (PUs) are not occupy them. Spectrum sensing is a key technology for SUs to detect PUs, and the sensing time is a critical parameter for spectrum sensing performance. Optimum sensing time tradeoffs between the spectrum sensing performance and the secondary throughput. This paper proposes a novel spectrum sensing scheme that performs spectrum sensing for either one period or two periods based on the previous sensing result. Due to the energy constraint in cognitive radio sensor networks, the energy efficiency is maximized by optimizing spectrum sensing time. In order to seek the optimal sensing time, the objective function is proven to be a concave function and the Golden Section Search method is employed. Our simulation study verifies that the proposed scheme improves the network energy efficiency, especially when PUs are more active.

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Acknowledgements

This research was supported by Basic Science Research Program through National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2059741).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Kyung Hee University, Yongin, 446-701, Republic of Korea

    Fanhua Kong & Jinsung Cho

  2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Zilong Jin

  3. School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA

    Ben Lee

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  1. Fanhua Kong
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  2. Zilong Jin
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Correspondence to Jinsung Cho.

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Kong, F., Jin, Z., Cho, J. et al. A novel spectrum sensing scheme with sensing time optimization for energy-efficient CRSNs. Wireless Netw 24, 2781–2794 (2018). https://doi.org/10.1007/s11276-017-1634-7

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  • DOI: https://doi.org/10.1007/s11276-017-1634-7

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