Feed-back clustering algorithm based on coarse data correlation in sensor networks
传感器网络中基于粗糙数据相关的反馈型成簇算法

Large-scale sensor networks usually adopt hierarchical routing strategy.Aiming at wavelet data compression,a Feed-Back clustering algorithm based on Coarse data Correlation(FBCC) in sensor network was proposed.The clusters whose data have better correlations were formed by employing the coarse correlation among sensing data,then some reconstructed data from Sink were compared with the real data in the corresponding sensors and the optimized clusters were obtained.Theoretic analysis and simulation experiments show the proposed algorithm can make the wavelet data compression in sensor networks more efficient,such as smaller error,higher compression ratio.Moreover,it can prevent the data submergence in wavelet data compression.