Fingerprinting Seismic Activity across an Internet of Things

Abstract

In this paper we will present technology designed to detect seismic events using pervasive computing. The project is focused on using low-cost open hardware in developing countries to provide an alternative more sustainable solution to the costly infrastructure used in countries such as Japan. The work involves building a network of embedded computing devices capable of forming a broadcast group across a range of different networking technologies including emerging 802.15.4-based networks. Software is been developed capable of detecting patterns of network activity which will act as an early identifier of significant seismic events across our network.

XML-compression techniques for efficient network management

“…There has been a shift towards processing data using low-powered devices where computational power, memory and storage capacity are restricted. These devices are capable of collecting data from their immediate environment such as temperature, motion, sound and even levels of radiation and seismic activity [1], [2]. Data is gathered and then processed from a variety of devices which range from network switches to single-board computers equipped with sensors for industrial, civil, or military purposes [3], [4] .…”