Abstract:In recent years, we have witnessed an unprecedented rise in localized severe weather phenomena, such as tornadoes and heavy rain, that are not predictable by conventional weather forecasting systems. In spite of this, there are few observation posts for forecasting tornadoes and heavy rain. It is necessary to srastically increase such observation points in order to make accurate predictions using real data. We have developed a compact and low-cost pressure information acquisition system to detect signs of localized abnormal weather. This research proposes an algorithm to predict local weather by detecting anomalous pressure values in the time series of the pressure sensor information and to notify users of impending dangerous weather conditions.
Large field sensing has been widely studied whereby an application for representative agricultural and disaster reduction utilizes a wireless sensor network (WSN). However, outdoor field sensing involves problems related to communication quality and distance. Particularly, the communication reliability in portable wireless sensor networks is greatly influenced by the surrounding environmental factors which affects the communication nodes' movement. Unlike fixed wireless sensor networks, radio wave conditions are dynamic, which yields many differences such as the effects of plants. Both the performance and communication quality are addressed by proposing a rapid rerouting mesh network capable of high speed reconnecting at the time of the failure. In this paper, the task of building an ad hoc simple water gauge system that assumes movement was carried out with implementation of wireless sensor networks. Furthermore, we evaluated the problems by deploying outdoor sensor nodes based on our proposed system.
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