Forecasting Model of Sensing Data for Sensor Networks Based on Fuzzy Time Series
Jisong Kou · Yunchou yu guanli · 2013
The monitoring system by using sensor networks belongs to large scaled complex network,where sensing data are delivered at a fixed time interval in a predefined way to the sink node for user queries,thereby the application environment can be monitored.Due to the fact that the quality of service is affected by sensor networks and the application environment,the sensor data collected is usually with uncertainty.In addition,the mechanism of periodically report may also lead to inaccurate information for real time application.In this paper,we apply time series model to forecast the sensor data,then response the user queries,which will reduce the communication overhead.By analyzing sensing data produced by sensor networks,a multi-attribute fuzzy time series forecasting model is also introduced,and it takes the trend factor existing in time series into consideration.An improved model that suits the forecast of sensing data is ultimately proposed.Simulation results show that the proposed fuzzy time series forecasting model can effectively predict future sensing data of sensor networks and improve the predicting accuracy.