无线传感器网络中一种分布式数据压缩算法

无线传感器网络有限的能量与通信带宽难以适应网络中大量数据的传输,需要在网络内部对传感数据进行压缩处理。基于任意支撑长度的小波函数,提出了一种分布式数据压缩算法。首先研究边界效应对传感数据重构带来的影响,然后基于虚拟网格环模型给出了一种分布式小波数据压缩算法。理论分析与实验结果表明,该算法能有效地去除传感数据中存在的空间相关性。而且,随着簇头与簇内节点距离的增加,该算法比非分布式方式更节省网络耗能。

Distributed data compression algorithm for wireless sensor networks

Wireless sensor networks usually have limited energy and transmission capacity,and they can’t match the transmission of a large number of data.So,it is necessary to perform in-network compression for sensory data.Based on wavelet with arbitrary supports,a distributed data compression algorithm is proposed.First,we study how “border effect” impacts on the reconstruction of sensory data.By employing the ring topology,we then present a distributed wavelet data compression algorithm.Theoretically and experimentally,we conclude the proposed algorithm can effectively explore the spatial correlation in the sensory data.Moreover,it can provide significant reduction in energy consumption compared to non-distributed approach along with the increasing distance between cluster head and sensor nodes.