Abstract
A flood monitoring system incorporates water sensor networks, forecast simulations models, and a decision-support web-based system. The objective of the system is to achieve reliable flood protection and response. This is challenging because of the inherent presence of a cascade of uncertainties in the forecast models, and also uncertainties affecting the timeliness and quality of raw sensor data that is used in the forecasting processes. Achieving real-time and accurate data collection is difficult due to the pervasive nature of the monitoring networks and because sensors and sensor nodes are vulnerable to external disturbances affecting data accuracy. In this paper we motivate for the need of dependable data collection in harsh coastal and marine environments, we overview the main challenges that need to be addressed and we introduce some initial ideas on what needs to be done in order to deal with external disturbances causing faulty measurements.
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Jesus, G., Casimiro, A., Oliveira, A. (2013). Towards Dependable Measurements in Coastal Sensors Networks. In: Vieira, M., Cunha, J.C. (eds) Dependable Computing. EWDC 2013. Lecture Notes in Computer Science, vol 7869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38789-0_18
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DOI: https://doi.org/10.1007/978-3-642-38789-0_18
Publisher Name: Springer, Berlin, Heidelberg
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