Towards a New Volcano Monitoring System Using Wireless Sensor Networks (original) (raw)

Abstract

This paper presents a seismic signal analysis framework on data sensed by a wireless sensor network deployed on Cotopaxi volcano. The results obtained by measuring environmental signals in the volcano and applying wavelet analysis, it is possible to find a signal classification to interpret the behaviour of the volcano. Sixteen sensors have been used and deployed in a strategy area, the information was obtained during three days of continuous monitoring. This information was sent to a surveillance laboratory located 45 km away from the station placed in the volcano, a WiFi-based long distance technology was used to this purpose. Volcanic information was processed using wavelet transform, a spectral pattern of seismic events determined four kinds of events, corresponding to a volcanic tremor, hybrid seisms, long period seisms and tectonic seisms.

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