Cognitive Radio Sensor Network (CRSN) is a distributed network of Cognitive Radio (CR) enabled wireless sensor nodes where there is no guarantee of the availability of vacant channels for data transfer. In CRSN nodes spend energy in radio spectrum sensing to sense the availability of vacant channels and hence energy preservation becomes a major concern. In this proposed work, a novel algorithm—energy preservation and network critics based channel scheduling (EPNCS) algorithm in CRSNs is designed which regulates the slot time for sensor nodes. Depending on environmental data traffic, the sleep time of sensor nodes is varied which reduces power consumption. Scalable dynamic slots are computed for each sensor node based on the average buffer occupancy which leads to optimal channel utilization. Simulation results show that EPNCS improves the network lifetime and throughput of CRSN significantly in comparison with existing protocols.

认知无线电传感器网络（CRSN）是启用了认知无线电（CR）的无线传感器节点的分布式网络，其中不能保证有空闲信道用于数据传输。在CRSN节点中，将能量花费在无线电频谱感测上以感测空闲信道的可用性，因此能量保存成为主要问题。在这项拟议的工作中，设计了一种新颖的算法-能量和基于网络批评者的CRSN中的信道调度（EPNCS）算法，该算法可调节传感器节点的时隙时间。根据环境数据流量，传感器节点的睡眠时间会有所变化，从而降低了功耗。根据平均缓冲区占用率为每个传感器节点计算可伸缩动态时隙，从而导致最佳信道利用率。