通信学报 ›› 2015, Vol. 36 ›› Issue (3): 52-62.doi: 10.11959/j.issn.1000-436x.2015058

• 学术论文 • 上一篇    下一篇

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   

  1. 南昌大学 信息工程学院,江西 南昌 330031
  • 出版日期:2015-03-25 发布日期:2017-06-21
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;江西省自然科学基金资助项目;江西省科技计划项目基金资助项目;江西省教育厅科技基金资助项目

Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks

Gui-cai YU,Cheng-zhi LONG,Man-tian XIANG   

  1. Faculty of Information Engineering, Nanchang University, Nanchang 330031, China
  • Online:2015-03-25 Published:2017-06-21
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Jiangxi Province;The Science and Technology Foundation of Jiangxi Province;The Tech-nology Foundation of Department of Education in Jiangxi Province

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。

关键词: 认知无线传感器网络, 检测概率, 能耗, 协作频谱感测, 检测门限

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.

Key words: cognitive wireless sensor networks, detection probability, energy consumption; cooperative spectrum sens-ing, detection threshold

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