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为了提高无线传感器网络在过度拥挤的ISM(industrial scientific medical)频段的传输性能,结合认知无线电的协作频谱感知技术,提出了一种新的认知无线传感器网络架构.网络中的认知节点采用能量检测算法对本地的多信道进行联合检测及局部判决.汇聚节点对协作的认知节点上传的局部感知结果进行决策融合,并根据全局判决结果调度传感节点在最佳信道进行通信.在满足信道检测率要求的前提下,以最大化网络吞吐量为目标,对协作感知的决策融合准则和认知节点数量进行了优化.仿真结果表明,优化后的协作感知策略仅需少量的认知节点即可保证网络的可靠传输,在降低网络能耗和设备成本的同时,显著提升网络吞吐量.
In order to improve the transmission performance of wireless sensor networks in over-crowded ISM (industrial scientific medical) band, a novel Cognitive Wireless Sensor Network (WSN) architecture is proposed based on the cooperative spectrum sensing technology of Cognitive Radio Energy detection algorithm performs joint detection and local decision on local multi-channel.Convergence node converges the local sensing results uploaded by the cooperating cognitive nodes and schedules the sensing nodes to communicate in the best channel according to the global decision results. Channel detection rate, the goal of maximizing the network throughput is to optimize the decision fusion criteria and the number of cognitive nodes which are perceived cooperatively.The simulation results show that the optimized cooperative sensing strategy requires only a small number of cognitive nodes Can guarantee the reliable transmission of the network, reduce the network energy consumption and equipment cost at the same time, improve the network throughput greatly.