Fundamental study of decomposition based on heterogeneous sensing data in physical conversion sensor networks
Minato Oriuchi, Osamu Takyu, Keiichiro Shirai, Fumihito Sasamori, Shiro Handa, Mai Ohta, Takeo Fujii · 2016
A physical wireless conversion sensor network (PhyC-SN) is attracting much attention for achieving real time collection of massive sensing data and reduction of power consumption in wireless sensor networks. Since the collected sensing data are interfered each other, we can hardly analyze the tendency of each sensing data. This paper proposes the novel data separation based on the data tracking with heterogeneous sensing data in PhyC-SN. In fundamental study, we show the highly accurate data decomposition in the proposed technique with using humidity and temperature data by experimental evaluation and computer simulation.