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International Conference on Advanced Intelligent Systems and Informatics

AISI 2020: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 pp 51–64Cite as

Toward an Efficient CRWSN Node Based on Stochastic Threshold Spectrum Sensing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1261))

Abstract

The high demand for wireless sensor networks (WSNs) is growing in different applications. Most WSNs use the unlicensed band (ISM band) which leads to congestion in that band. On the other hand, without damaging the quality of service (QoS) of the network, minimizing the consumed energy is vital in sensor networks design. Cognitive radio-based wireless sensor networks (CRWSNs) afford some solutions to the problem of scarce unlicensed band spectrum. The spectrum sensing is the main function of the cognitive radio networks. In this paper, for maximizing the accuracy of sensing, as well as the energy efficiency of the network, proposed novel method by employing adaptive spectrum sensing. Spectrum sensing is performed by Secondary User (SU) to identify if the Primary User (PU) is idle, then for verifying that primary user is actually idle, sensing the spectrum again is done by secondary user in order to provide better protection for the primary user. Because of CRWSN has a constraint in energy, that adaptive interval of sensing could also, be modified to optimize the energy efficiency of the network according to the different activity of the PU. Simulation results were provided to validate the efficacy of the proposed algorithms to enhance both spectrum sensing performance and energy efficiency.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt

    Reham Kamel Abd El-Aziz, Ahmad A. Aziz El-Banna, HebatAllah Adly & Adly S. Tag Eldien

  2. Electronics and Communication Department, Modern Academy for Engineering and Technology, Cairo, Egypt

    Reham Kamel Abd El-Aziz

Authors
  1. Reham Kamel Abd El-Aziz
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  2. Ahmad A. Aziz El-Banna
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  3. HebatAllah Adly
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  4. Adly S. Tag Eldien
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Corresponding author

Correspondence to Reham Kamel Abd El-Aziz .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Information Technology Department, and Chair of the Scientific Research Group in Egypt, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  3. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  4. Rector of the Electronic Research Institute, Cairo, Egypt

    Hisham El-Deeb

  5. Faculty of computers and information, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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El-Aziz, R.K.A., Aziz El-Banna, A.A., Adly, H., Tag Eldien, A.S. (2021). Toward an Efficient CRWSN Node Based on Stochastic Threshold Spectrum Sensing. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_5

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