Distributed data compression algorithm for wireless sensor networks
Siwang Zhou · Computer Engineering and Applications Journal · 2007
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.