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An Energy-Efficient Combination of Sleeping Schedule and Cognitive Radio in Wireless Sensor Networks Utilizing Compressed Sensing

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Advances in Engineering Research and Application (ICERA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 178))

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Abstract

Conventional wireless sensor networks (WSNs) have been well exploited with many applications and also numerous techniques for improvements. Recently WSNs employ muti-media services that require more resources including frequency bandwidth and transmission rate. This encourages more exploration to support the networks to approach the increasing demand in quality of service. This paper shows an investigation to combine some techniques to meet some requirements. Cognitive radio (CR) have been known to use frequency band effectively. Compressed sensing (CS) applied in WSNs reduces the data transmission in the networks. Sleeping schedules for sensor nodes in such networks are also considered to save energy while still provide enough data needed. This work is a combination that provide analysis of network models, simulation results and shows promise for future WSNs.

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Acknowledgements

The authors would like to thank Thai Nguyen University of Technology (TNUT), Viet Nam for the support.

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Authors and Affiliations

  1. Thai Nguyen University of Technology (TNUT), Thai Nguyen, Viet Nam

    Minh T. Nguyen & Thuong T. K. Nguyen

  2. Oklahoma State University (OSU), Stillwater, USA

    Keith A. Teague

Authors
  1. Minh T. Nguyen
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  2. Thuong T. K. Nguyen
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  3. Keith A. Teague
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Corresponding author

Correspondence to Minh T. Nguyen .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  5. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

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Nguyen, M.T., Nguyen, T.T.K., Teague, K.A. (2021). An Energy-Efficient Combination of Sleeping Schedule and Cognitive Radio in Wireless Sensor Networks Utilizing Compressed Sensing. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64718-6

  • Online ISBN: 978-3-030-64719-3

  • eBook Packages: EngineeringEngineering (R0)

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