article

Spectrum sensing exploiting the maximum value of power spectrum density in wireless sensor network

Authors:

Yanping ChenAuthors Info & Claims

Wireless Networks, Volume 25, Issue 4

Pages 1949 - 1964

https://doi.org/10.1007/s11276-018-1789-x

Published: 01 May 2019 Publication History

Abstract

Spectrum sensing plays a foundational role in cognitive radio sensor networks. However, only the methods with low computational complexity can be utilized due to energy restriction of sensor node. To this end, a novel frequency-domain spectrum sensing method is presented to satisfy corresponding requirements of cognitive radio sensor networks. Only the maximum value of power spectrum density is utilized as test statistic to reduce the computational complexity. According to the dependence of 2L real parts and imaginary parts of the maximum value of power spectrum density, we model the maximum value of power spectrum density as the central Chi-square distribution for the $$H_0$$H0 case and non-central Chi-square distribution for the $$H_1$$H1 case. Exploiting resulting distributions, we derive the analytic expressions for the detection probability and the false-alarm probability. Additionally, the computational complexity of the proposed method is quantitatively analyzed. Finally, we certify the proposed test statistic and the probability distribution of the maximum value of power spectrum density and evaluate the impact of some parameters on the detection performance experimentally. The theoretical analysis and simulation results demonstrate that the proposed algorithm can offer high performance gains over the existing time-domain detection method.

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Cited By

Okagbue HAdamu MAnake T(2020)Closed-Form Expressions for the Quantile Function of the Chi Square Distribution Using the Hybrid of Quantile Mechanics and Spline InterpolationWireless Personal Communications: An International Journal10.1007/s11277-020-07672-w115:3(2093-2112)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11277-020-07672-w
Khademi Nori MSharifian S(2020)EDMARA2: a hierarchical routing protocol for EH-WSNsWireless Networks10.1007/s11276-020-02328-w26:6(4303-4317)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s11276-020-02328-w

Index Terms

Spectrum sensing exploiting the maximum value of power spectrum density in wireless sensor network
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems
2. Networks
  1. Network types
    1. Mobile networks

Index terms have been assigned to the content through auto-classification.

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cover image Wireless Networks

Wireless Networks Volume 25, Issue 4

May 2019

730 pages

ISSN:1022-0038

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Copyright © Copyright © 2019 Springer Science+Business Media, LLC, part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 May 2019

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Cited By

Okagbue HAdamu MAnake T(2020)Closed-Form Expressions for the Quantile Function of the Chi Square Distribution Using the Hybrid of Quantile Mechanics and Spline InterpolationWireless Personal Communications: An International Journal10.1007/s11277-020-07672-w115:3(2093-2112)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11277-020-07672-w
Khademi Nori MSharifian S(2020)EDMARA2: a hierarchical routing protocol for EH-WSNsWireless Networks10.1007/s11276-020-02328-w26:6(4303-4317)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s11276-020-02328-w

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