Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework

Abstract

In today’s context, urban flooding has emerged as a pervasive and significant global challenge, resulting in substantial economic losses spanning both human lives and property damage. With a concerning rise in urban flood-related fatalities and financial impacts, there’s an urgent call for enhanced flood risk management strategies. Although floods, as natural disasters, cannot be entirely prevented or eliminated, their catastrophic effects can be significantly reduced or mitigated. Cutting-edge technologies like the internet of things (IoT) and artificial Intelligence offer promising solutions for flood prediction. These advancements facilitate early warning systems, enabling pre-emptive evacuation measures to safeguard lives and minimize economic repercussions. This work aims to develop and implement a system leveraging IoT-derived data with an edge computing framework. It also uses machine learning techniques for fuzzy-based fused framework to provide rainfall prediction early flood warnings, focusing on risk mitigation as a proactive approach to address this pressing issue.