关键词: 无线传感器网络,自适应采样,双指数平滑法,采样率,错误丢失率

Abstract: We presented the design of a novel adaptive sampling technique based on TCP congestion strategy,in which the temporal data correlations provide an indication of the prevailing environmental conditions and are used to adapt to the sensing rate of a sensor node.It uses irregular data series prediction to reduce sampling rate in combination with change detection to maintain data fidelity.The prediction method employs Wright’s extension to Holt’s method of exponential double sampling (EDS) coupled with a change detection mechanism based on exponentially weighted moving averages (EWMA).The main advantages are that it does not require heavy computation,incurs low memory and communication overhead and the prediction model can be implemented with ease on resource constrained sensor nodes.

Key words: Wireless sensor networks,Adaptive sampling,Exponential double smoothing,Sampling fraction,Miss ratio