Coincidence Data Compression Algorithm Based on Interval Wavelet in Wireless Sensor Networks
Hairong Zhu · Jisuanji gongcheng · 2011
Based on the coincidence characteristics of sensor data,this paper proposes a data compress algorithm based on interval wavelet and coincidence.First to processing the sensor data with the data strong coincidence characteristics,the data with strong coincidence characteristics can be estimated using least-squares method.Uses the interval wavelet which has a good frequency characteristic,the algorithm reduces the transmitted data when communicating in sensor network.Theoretical analysis and simulation results show that the algorithm can effectively compress sensor data and reduce energy consumption greater.