The Multi-scale Spatio-temproal Redundancy Information Reduction Based on Lift Scheme in Wireless Sensor Network
Spatio-temporal redundancy information in sensor network data is brought about thanks to stochastic deployment, dense sensing and dynamic topology. Moreover, typical sensor data are not only irregularly spaced but also temporal irregular, which is incompatible with standard wavelet algorithm. As for limited resource of wireless sensor network: power, computation, communication and etc, tradeoff of computation and communication is vital for budget for energy consumes and life prolongs. An efficient scheme of Collaborative Information and Signal Processing (CISP) is put forward for hier archical data aggregation and spatio-temporal decorrelation based on in-cluster distributed second-algorithm not only decrease sharply the communication cost when transmitting information to sink node with approximate information reserved, but also deals with the fundamental issue of spatio-temporal irregular samples.
Sun Tao Li Deshi Fu Zheng Tang Xianxiu
Electronic Information School of Wuhan University,Wuhan, Republic of China Shan Dong Tumor Hospital, Jinan, Republic of China City Engineer School of Wuhan University, Wuhan, Republic of China Electronic Information School ofWuhan University,Wuhan, Republic of China
国际会议
武汉
英文
887-890
2005-09-23（万方平台首次上网日期，不代表论文的发表时间）