无线认知传感器网络的节能频谱感知策略  

Energy-efficient spectrum sensing in wireless cognitive sensor networks

作　　者：邹丹[1] 钟国辉[1] 屈代明[1] 曹洋[1] 

机构地区：[1]华中科技大学电子与信息工程系,湖北武汉430074

出　　处：《中国科学技术大学学报》2009年第10期1052-1058,共7页JUSTC

基　　金：国家自然科学基金(60702039)资助

摘　　要：针对无线认知传感器网络频谱感知过程中的能耗,提出两种节能策略:①使用可信度投票算法来减少传输检测结果的节点个数;②使用基于部分可观测马尔可夫决策过程的检测算法来减少检测次数.仿真结果表明这两种算法均能有效减少检测能耗,而且组合使用时相比一般算法能节省不低于30%的能量,同时保证检测可靠度满足系统要求.Two energy-efficient strategies are proposed to reduce the energy consumed in the spectrum sensing procedure for wireless cognitive sensor networks. One involves using confidence voting algorithm to reduce the detection number, the other is based on Partially Observable Markov Decision Process （POMDP）. Simulation results show that both algorithms can reduce the energy consumed in the detection efficiently, and the combination of the two algorithms can save more than 30% energy compared with the general algorithm with system detection reliability requirement guaranteed.

关 键 词：无线传感器网络 认知无线电 频谱感知 节能 

分 类 号：TN92[电子电信—通信与信息系统]