Abstract
The water reservoir tank have various roles such as septic tanks, agricultural water storage and also as fire protection tanks. The condition of the water reservoir tank changes with weather conditions. There is a risk of overtopping of the embankment and collapse of the surface of a wall during heavy rainfall. Therefore, by monitoring the water reservoir tank and predicting changes, the damages can be reduced by learning of hazards in an early stage. Wireless sensor fusion networks have the advantage of being able to collect and analyze a variety of information from a wide range of sources. They can be effective in monitoring water reservoir tank by predicting and preventing damages in water reservoir tank caused by various factors. In this paper, we develop sensing devices and propose a wireless sensor fusion network to monitor the water reservoir tank. For the experiment, we implemented a wireless sensor network testbed and analyze the delay of a wireless sensor network in an outdoor environment considering Line-of-Sight (LoS) scenario. In addition, we predicted the temperature in an experimental environment by Long Short-Term Memory (LSTM).
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This work was supported by JSPS KAKENHI Grant Number JP20K19793.
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Nagai, Y. et al. (2022). A Wireless Sensor Network Testbed for Monitoring a Water Reservoir Tank: Experimental Results of Delay and Temperature Prediction by LSTM. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_40
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