认知无线传感器网络中能耗有效的协作频谱感测算法

虞贵财; 龙承志; 向满天

doi:10.11959/j.issn.1000-436x.2015058

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认知无线传感器网络中能耗有效的协作频谱感测算法

学术论文 | 更新时间：2024-06-05

- 认知无线传感器网络中能耗有效的协作频谱感测算法
- Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks
- 通信学报 2015年36卷第3期页码：52-62
- 作者机构：
  
  南昌大学信息工程学院，江西南昌 330031
- 作者简介：
  
  [ "虞贵财（1977-），男，江西崇仁人，南昌大学讲师，主要研究方向为无线传感器网络、认知无线电技术等。" ]
  [ "龙承志（1975-），男，江西吉安人，南昌大学教授、硕士生导师，主要研究方向为无线通信、无线传感器网络等。" ]
  [ "向满天（1977-），男，湖北恩施人，南昌大学副教授、硕士生导师，主要研究方向为无线通信、无线传感器网络等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61362008);国家自然科学基金资助项目;The National Natural Science Foundation of China(61362022);江西省自然科学基金资助项目;The Natural Science Foundation of Jiangxi Province(20142BAB207005);江西省科技计划项目基金资助项目;The Science and Technology Foundation of Jiangxi Province(20142BBE50016);江西省教育厅科技基金资助项目;The Tech-nology Foundation of Department of Education in Jiangxi Province(GJJ14139)
- DOI：10.11959/j.issn.1000-436x.2015058
  中图分类号： TP393.08
- 网络首发：2015-03，
  
  纸质出版：2015-03-25
- 稿件说明：
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虞贵财, 龙承志, 向满天. 认知无线传感器网络中能耗有效的协作频谱感测算法[J]. 通信学报, 2015,36(3):52-62.

Gui-cai YU, Cheng-zhi LONG, Man-tian XIANG. Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks[J]. Journal of Communications, 2015, 36(3): 52-62.
虞贵财, 龙承志, 向满天. 认知无线传感器网络中能耗有效的协作频谱感测算法[J]. 通信学报, 2015,36(3):52-62. DOI： 10.11959/j.issn.1000-436x.2015058.

Gui-cai YU, Cheng-zhi LONG, Man-tian XIANG. Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks[J]. Journal of Communications, 2015, 36(3): 52-62. DOI： 10.11959/j.issn.1000-436x.2015058.

摘要

提出了一种新的认知无线传感器网络中能耗有效的协作频谱感测算法。首先，为了降低分布式传感节点的能耗，假定传感节点的瞬时信噪比和平均信噪比已知，分析频谱感测节点的能耗与最优检测门限值之间的数学模型。然后，结合感测节点选择和判决门限设定理论，研究基于判决节点选择的有效协作频谱感测方案。理论分析和仿真结果表明，算法有效地降低了认知传感器网络的节点总能耗，提高了能耗效率。

Abstract

A novel energy-efficient scheme of cooperative spectrum sensing in cognitive wireless sensor networks is proposed.Firstly

in order to reduce energy consumption of distributed sensor nodes

and assumed that instantaneous SNR and average SNR for each node is available.The mathematical model of spectrum sensing nodes energy consumption and optimum detection threshold are analyzed. Then

the theory of sensing node selection and decision threshold setting

combined an effective cooperative spectrum sensing scheme based on decision nodes selection is researched. The analy-sis and simulation results show that the proposed algorithm can effectively reduce total energy consumption in cognitive sensor networks

improve energy efficiency.

关键词

Keywords

references

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