Reliability-based sensor selection algorithm for cooperative spectrum sensing

YANG Li; TAO Yang; JI Rui-juan; YANG Liu; HOU Yao

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Reliability-based sensor selection algorithm for cooperative spectrum sensing

更新时间：2026-09-04

- Reliability-based sensor selection algorithm for cooperative spectrum sensing
- Vol. 36, Issue 10, Pages: 54-58(2019)
- 作者机构：
  
  重庆邮电大学机构通信与信息工程学院,重庆,400065
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
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杨理, 陶洋, 纪瑞娟, 杨柳, 侯尧. 基于可靠性的合作频谱感知传感器选择算法[J]. 微电子学与计算机, 2019, 36(10): 54-58.

YANG Li, TAO Yang, JI Rui-juan, et al. Reliability-based sensor selection algorithm for cooperative spectrum sensing[J]. 2019, 36(10): 54-58.
杨理, 陶洋, 纪瑞娟, 杨柳, 侯尧. 基于可靠性的合作频谱感知传感器选择算法[J]. 微电子学与计算机, 2019, 36(10): 54-58. DOI：

YANG Li, TAO Yang, JI Rui-juan, et al. Reliability-based sensor selection algorithm for cooperative spectrum sensing[J]. 2019, 36(10): 54-58. DOI：

摘要

为了提高无线传感网中合作频谱感知的可靠性

减小阴影衰落的影响

提出了一种最大可靠性传感器选择算法.算法在考虑检测概率与虚警概率的基础上引入空间相关度来保证传感器节点冗余少

分布均匀

并根据当前节点的能量约束选择最优解输出.仿真结果表明

该算法有效地提高了频谱感知的可靠性

在传感器分布非均匀的情况下

抗阴影衰落干扰能力显著提高.

Abstract

In order to improve the reliability of cooperative spectrum sensingin wireless sensor networks and reduce the impact of shadow fading

a maximum reliability sensor selection algorithm(MRSSA)is proposed. MRSSA considering the detection probability and false alarm probability

the spatial correlation was introduced to ensure that the sensor nodes are less redundant and evenly distributed. The optimal solution output will be selected according to the energy constraints of the current node.The simulation results show MRSSA improves the reliability of spectrum sensing effectively. In the case of non-uniform sensor distribution

the anti-shadow fading interference capability is significantly improved.

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references

FENG X, SUN G, GAN X, et al. Cooperative Spectrum Sharing in Cognitive Radio Networks: A Distributed Matching Approach[J]. IEEE Transactions on Communications, 2014, 62(8):2651-2664. DOI: 2651

JAMAL A, THAM C K, WONG W C. CR-WSN MAC: An energy efficient and spectrum aware MAC protocol for cognitive radio sensor network[C]// International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Oulu, Finland: IEEE, 2014: 67-72.

MONEMIAN M, MAHDAVI M, OMIDI M J. A comprehensive sensor selection method based on energy constraints for cooperative spectrum sensing[C]// IEEE International Conference on Communications.Kuala Lumpur, Malaysia: IEEE, 2016: 1-6.

KHALID L, ANPALAGAN A. Reliability-based decision fusion scheme for cooperative spectrum sensing[J]. Iet Communications, 2014, 8(14):2423-2432. DOI: 2423

ZHENG G, HO Z, JORSWIECK E A, et al. Information and Energy Cooperation in Cognitive Radio Networks[J]. IEEE Transactions on Signal Processing, 2014, 62(9):2290-2303. DOI: 2290

RAWAT P, SINGH K D, CHAOUCHI H, et al. Wireless sensor networks: a survey on recent developments and potential synergies[J]. Journal of Supercomputing, 2014, 68(1):1-48. DOI: 1

虞贵财, 龙承志, 向满天.基于瞬时信噪比已知的能耗有效协作频谱感测算法[J].南昌大学学报(工科版), 2015(1):76-82. DOI: 76

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