面向WSN的自适应模糊功率控制算法研究

在无线传感器网络环境中存在干扰以及网络的动态变化等原因,传输可靠性问题成为保障网络服务性能的重要挑战之一。现有的研究方法基本没有考虑网络的动态性,节点能耗较高。为此,我们提出了一种面向WSN的自适应模糊功率控制算法DAFPC。该算法采用自适应模糊理论,并基于“输入-输出-反馈”机制,根据接收到的链路质量参数信息自适应地调整控制器,快速地调节发射功率。研究仿真结果表明,DAFPC算法能很好地适应网络的动态变化,有效地提高WSN的抗干扰性和传输可靠性,延长了网络的生存时间。

A Dynamic Adaptive Fuzzy Algorithm for Power Control in Wireless Sensor Networks

The transmission reliability problem is a fundamental challenge of wireless sensor networks( WSN) due to environmental interference and network dynamics. Existing methods on transmission reliability for WSN with high-energy consumption are unaware of the network dynamics and lead to non-adaptive patterns. To solve this problem,a dynamic adaptive fuzzy algorithm for power control( DAFPC) in wireless sensor networks is proposed in this paper, which is based on the adaptive fuzzy control theory and the input-output-feedback mechanism. In our algorithm,the controller structure and the transmit power are adjusted adaptively according to the link quality. Simulation results show that DAFPC can adapt to the dynamic changes of the network,effectively enhance anti-interference perform-ance and transmission reliability of WSN,reduce nodes’ energy consumption and prolong the network lifetime.