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Efficient IoT-enabled Landslide Monitoring.

Butler, M., Angelopoulos, M. and Mahy, D., 2019. Efficient IoT-enabled Landslide Monitoring. In: IEEE 5th World Forum on Internet of Things, 15-18 April 2019, Limerick, Ireland.

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Landslides pose significant socio-economic threats to areas whose geography favors them. Currently existing landslide monitoring methods and techniques are characterized by significant limitations both in technical terms (quality and frequency of data) and in terms of usability (high inferred costs, requirement of very high expertise). In this work we present an innovative landslide monitoring system that leverages state-of-the-art IoT technologies. The system consists of a set of autonomous sensing devices equipped with a sensor suit specifically tailored for monitoring landslides. The devices take sensory measurements at frequent intervals - while operating at a very low duty cycle - and transmit them over the SigFox network to a data server powered by ELK stack for curation and visualization. The system has been successfully deployed in a landslide site at Bournemouth, UK providing the local authorities with a new means of efficient and remote monitoring. The system follows a modular scalable architecture and has been proven to be highly reliable. As a result, there are plans for its use to be extended to other parts of the Bournemouth area as well as of the UK.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Internet of Things, SigFox, landslide
Group:Faculty of Science & Technology
ID Code:31986
Deposited By: Symplectic RT2
Deposited On:04 Mar 2019 14:46
Last Modified:14 Mar 2022 14:15


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