Andrade, Giordy A.Esteban San Román, SegundoRisco Martín, José LuisChacón Sombría, JesúsBesada Portas, Eva2025-01-232025-01-232024-05-09Andrade, G. A., Esteban, S., Risco-Martín, J. L., Chacón, J., & Besada-Portas, E. (2024). Modeling- and Simulation-Driven Methodology for the Deployment of an Inland Water Monitoring System. Information, 15(5), 267. https://doi.org/10.3390/info1505026710.3390/info15050267https://hdl.handle.net/20.500.14352/115722In response to the challenges introduced by global warming and increased eutrophication, this paper presents an innovative modeling and simulation (M&S)-driven model for developing an automated inland water monitoring system. This system is grounded in a layered Internet of Things (IoT) architecture and seamlessly integrates cloud, fog, and edge computing to enable sophisticated, real-time environmental surveillance and prediction of harmful algal and cyanobacterial blooms (HACBs). Utilizing autonomous boats as mobile data collection units within the edge layer, the system efficiently tracks algae and cyanobacteria proliferation and relays critical data upward through the architecture. These data feed into advanced inference models within the cloud layer, which inform predictive algorithms in the fog layer, orchestrating subsequent data-gathering missions. This paper also details a complete development environment that facilitates the system lifecycle from concept to deployment. The modular design is powered by Discrete Event System Specification (DEVS) and offers unparalleled adaptability, allowing developers to simulate, validate, and deploy modules incrementally and cutting across traditional developmental phases.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/journal articlehttps://doi.org/10.3390/info15050267https://www.mdpi.com/2078-2489/15/5/267open access007.52621.38Internet of ThingsEarly warning systemHarmful algal and cyanobacterial bloomModel-based system engineeringDiscrete Event System SpecificationRobóticaElectrónica (Física)2508.11 Calidad de las Aguas3304.12 Dispositivos de Control3304.17 Sistemas en Tiempo Real