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An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks

Published: 05 January 2018 Publication History

Abstract

Detecting activity states of Licensed Users (LUs) has great significance for the utilization of limited radio spectrum, especially when activity states of licensed users can be more accurately detected. However, the spectrum detection will always have the wrong detection of a LU state, and it will result in increased communication overhead, extra network energy consumption, and node premature death. To deal with these issues, an energy-efficient cooperative spectrum sensing scheme is proposed which can select a representative sensor node set in Cognitive Radio Sensor Network (CRSN), under given constraints. The representative nodes set which consists of the nodes can provide gains for detecting the LU states is a subset of the nodes deployed in the network. Based on the spectrum detection information provided by the selected representative nodes, the D-S theory of evidence is employed to derive the activity states of LU while keeping the same spectrum sensing accuracy if not better. Simulation results indicate that the proposed scheme can improve the detection accuracy and reduce the energy consumption, as it efficiently reduces the number of sensor nodes which perform spectrum sensing and relative communication overhead among the nodes.

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Cited By

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  • (2024)An Energy Efficient CSS in a CR-IoT Network with Interference Constraints2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)10.1109/INDIN58382.2024.10774507(1-8)Online publication date: 18-Aug-2024
  • (2021)Optimal Spectrum Allocation Based on Primary User Activity Model in Cognitive Radio Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-020-08009-3118:1(195-216)Online publication date: 1-May-2021

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  1. An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks

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      cover image ACM Other conferences
      IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
      January 2018
      628 pages
      ISBN:9781450363853
      DOI:10.1145/3164541
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

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      Published: 05 January 2018

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      Author Tags

      1. Cognitive radio sensor network
      2. D-S theory
      3. cooperative spectrum sensing
      4. energy efficiency

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      IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
      Overall Acceptance Rate 213 of 621 submissions, 34%

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      • (2024)An Energy Efficient CSS in a CR-IoT Network with Interference Constraints2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)10.1109/INDIN58382.2024.10774507(1-8)Online publication date: 18-Aug-2024
      • (2021)Optimal Spectrum Allocation Based on Primary User Activity Model in Cognitive Radio Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-020-08009-3118:1(195-216)Online publication date: 1-May-2021

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