CAJ | 학술논문

能耗一直是制约无线传感器网络WSN( Wireless Sensor Networks)发展的关键因素。为了降低节点的功耗，延长WSN的寿命，一种改进指数平均模型的动态功耗管理DPM( Dynamic Power Management)方法被提出。该方法利用历史空闲时间来对未来空闲时间进行预测，预测结果作为节点是否转换为低功耗状态的依据。理论分析和实验仿真表明，本文提出的DPM在突发情况时能够快速自适应地调整，提高了预测的准确性，降低了WSN的功耗。
능모일직시제약무선전감기망락WSN( Wireless Sensor Networks)발전적관건인소。위료강저절점적공모，연장WSN적수명，일충개진지수평균모형적동태공모관리DPM( Dynamic Power Management)방법피제출。해방법이용역사공한시간래대미래공한시간진행예측，예측결과작위절점시부전환위저공모상태적의거。이론분석화실험방진표명，본문제출적DPM재돌발정황시능구쾌속자괄응지조정，제고료예측적준학성，강저료WSN적공모。
The key factor hindering the development of Wireless sensor network( WSN) is the energy. In order to re-duce the power consumption and extend the node life time of WSN,an effective method of dynamic power manage-ment strategy based on exponential average model is proposed in this paper. The strategy uses historical idle time to make predictions about the future idle time,and the prediction result will be the basis to decide whether the node is converted into a low power state or not. Facing the burst situations, theoretical analysis and experimental results show that the proposed algorithm can adjust quickly adaptive to improve the accuracy of forecasts and reduce the power consumption of the system.