基于事件捕获的无线传感网络节点能耗实时估计

无线传感网络节点能耗的动态估计对于延长网络的寿命非常关键。针对无线传感网络节点的实时能耗估计,以运行TinyOS的MICAz节点作为目标平台,对TinyOS进行了功能扩展,用nesC语言设计了一个基于事件捕获的能耗估计模块。采用数据采集卡对各硬件模块的功耗模型进行了标定,实验结果表明该方法的时间和空间开销较小,估计精度约为4%。

Real-time Estimation of Energy Consumption Based on Event Capture

The estimation of energy consumption for wireless sensor network nodes is crucial to extending the lifetime of the network.Based on function expansion of TinyOS with nesC,this paper presents a real-time energy consumption estimation method using event capture for wireless sensor networks composed of MICAz motes running TinyOS.The power consumption model for each hardware components was calibrated using data acquisition card.Experimental results indicate that the proposed method has an estimation accuracy of about 4% with little computation overhead and small footprint.