Wireless Sensor Network Technology for Avalanche Monitoring: From Hardware to Detection
In this poster, I talk about three research challenges of building a wireless sensor network that can automatically monitor and detect avalanches. My research focuses on three aspects of this wireless system: 1) high-precision and easy to use wireless hardware, 2) efficient wireless communication, and 3) automated avalanche detection. First, I describe efforts to create a “shield” that easily connects existing wireless hardware with geophysical sensors like seismic geophones, self-potential electrodes, and infrasound microphones. Second, I talk about wireless data compression and how a new technique, known as compressive sampling, can significantly reduce radio transmissions and save power. Third, I discuss how data mining and machine learning algorithms have been used to automatically detect snow avalanche events in real-world seismic data.