Spatio-Temporal Analyses of Environmental Monitoring Based on Wireless Sensor Networks
Ryoma Yasutani, Koki Kitazumi, Shusuke Narieda, Takeo Fujii, Kenta Umebayashi, Hiroshi Naruse · 2021 IEEE Sensors · 2021
This paper proposes spatial and temporal correlation analyses of environmental information measured at wireless sensor networks. The purpose of the analysis is to visualize the behavior of spatial and temporal changes in physical quantities, such as temperature, that cannot be found from only the average relative error. The analysis will enable the fundamental discussion for the optimal placement of sensor nodes with physical sensors. Actual measurement results are analyzed according to the proposed analysis method. The analytical results showed the existence of the behavior for the physical quantity temporal changes which is difficult to find from only the average relative error.