基于自适应模糊控制器的无线传感器网络功率控制

针对现有的无线传感器网络（WSN）功率控制方法存在的节点早死问题，提出一种考虑节点剩余能量的功率控制方法——SAFPC。首先，设计了具有"输入-输出-反馈"机制的两级模糊控制器系统模型，主控制器负责节点发射功率调节，从控制器负责期望节点度调节，自适应地根据网络中节点剩余能量来调节发射功率；然后，分别对主、从控制器的模糊化、模糊规则及解模糊过程进行了详细描述；最后，从网络收敛时间、平均能耗以及生命周期方面对SAFPC进行了仿真分析。实验结果表明，与模糊控制传输功率方法（FCTP）相比，SAFPC收敛速率快12.5%，在不同网络规模情况下节点平均能耗降低3.68%，网络生命周期延长7.9%。可见，SAFPC能有效延长网络生命周期，提高网络动态适应性及链路鲁棒性。

Self-adaptive fuzzy controller based power control for wireless sensor networks

To solve the problem of node's premature death in existing power control methods for Wireless Sensor Network (WSN), a new method called Self-Adaptive Fuzzy Control (SAFPC) was proposed. Firstly, the model of two level fuzzy controller with "input-output-feedback" mechanism was designed, whose main controller was responsible for the node transmission power adjustment, and auxiliary controller was responsible for the desired node degree adjustment, so as to adjust the transmission power adaptively according to the residual energy of the node. Secondly, the fuzzification, fuzzy rules and defuzzification process were described in detail. Finally, SAFPC was simulated and analyzed in terms of network convergence time, average energy consumption and network life cycle. The experimental results show that, compared with FCTP (Fuzzy Control Transmission Power method), SAFPC can increase convergence rate by 12.5%, the average energy consumption of the nodes is reduced by 3.68% and the network life cycle is prolonged by 7.9%. It can be seen that SAFPC can effectively prolong the network life cycle, as well as improve network dynamic adaptability and link robustness significantly.