The Earthquake Network research project implements a crowdsourced earthquakeearly warning system based on smartphones. Smartphones, which are madeavailable by the global population, exploit the Internet connection to report asignal to a central server every time a vibration is detected by the on-boardaccelerometer sensor. This paper introduces a statistical approach for thedetection of earthquakes from the data coming from the network of smartphones.The approach allows to handle a dynamic network in which the number of activenodes constantly changes and where nodes are heterogeneous in terms of sensorsensibility and transmission delay. Additionally, the approach allows to keepthe probability of false alarm under control. The statistical approach isapplied to the data collected by three subnetworks related to the cities ofSantiago de Chile, Iquique (Chile) and Kathmandu (Nepal). The detectioncapabilities of the approach are discussed in terms of earthquake magnitude anddetection delay. A simulation study is carried out in order to link theprobability of detection and the detection delay to the behaviour of thenetwork under an earthquake event.
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