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On Energy-Based Quality of Detection (QoD) for Cognitive Radio Sensor Networks

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Abstract

An energy-based primary signal detection framework is proposed to study the quality of detection (QoD) performance for cognitive radio sensor networks (CRSNs) under single cognitive sensor (CS) detection and multiple CS detection. We use hypothesis testing to first derive the exact solution and then the approximate solution (with less computational complexity) of the QoD metrics. Based on the approximate solution, we develop an adaptive QoD control scheme to maintain the QoD requirements. Numerical simulations are provided to validate the analysis. The proposed framework and analytic results are expected to be applied to different aspects (e.g., protocol design, network deployment) of CRSNs.

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Authors and Affiliations

  1. Department of Engineering Technology, Missouri Western State University, St. Joseph, MO, 64506, USA

    Shensheng Tang, Andrew Trautman & Hung Nguyen

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  1. Shensheng Tang
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  2. Andrew Trautman
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  3. Hung Nguyen
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Correspondence to Shensheng Tang.

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Tang, S., Trautman, A. & Nguyen, H. On Energy-Based Quality of Detection (QoD) for Cognitive Radio Sensor Networks. Int J Wireless Inf Networks 23, 214–221 (2016). https://doi.org/10.1007/s10776-016-0313-4

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  • DOI: https://doi.org/10.1007/s10776-016-0313-4

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