能效优化的能量采集异构认知无线传感器网络的帧设计

Energy Efficiency Optimized Frame Design for Energy Harvesting Heterogeneous Cognitive Wireless Sensor Network

能量效率是5G移动通信网络的重要效率指标之一,而能量采集异构认知无线传感器网络具有获得较高能量效率的可能性。考虑由感知节点和数据节点构成的能量采集异构认知无线传感器网络,其中数据节点采集环境数据,通过感知节点判断授权信道状态,实现对授权信道的合理利用。针对该异构网络中的数据和感知传感器分别设计不同的帧结构,对数据节点的发射功率和感知节点感知时长进行联合优化,实现次级网络能量效率的最大化,且利用仿真结果验证了所提算法的有效性。

Energy Efficiency (EE) is one of the important efficiency indicators for 5G mobile communication networks, while EH-HCWSN (energy harvesting heterogeneous cognitive wireless sensor network) has the possibility of obtaining higher EE. An energy harvesting heterogeneous cognitive wireless sensor network consisting of a sensing node and a data node is proposed, wherein the data node collects environmental data, and the sensing node determines the authorized channel state and realizes rational utilization of the authorized channel. Different frame structures are designed for the data and sensory sensors in the heterogeneous network, and the transmit power of the data node and the perceived duration of the perceived nodes are jointly optimized to maximize the energy efficiency of the secondary network. And the simulation results indicate the effectiveness of the proposed algorithm.