An IoT-based infrastructure to enhance self-evacuations in natural hazardous events

Abstract

Regardless of the extensive research conducted on large scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follow evacuation plans has shown to be feasible as early response to several natural disasters; however, the typical lack of interaction capability of the evacuees with first response organizations and emergency managers, jeopardizes the effectiveness of these processes. This article proposes an IoT-based infrastructure that supports self-evacuation of civilians in mass processes, allowing people to participate as information providers and consumers. This infrastructure is the backbone of an ambient intelligence system used as a bridge between evacuees, first response units and the emergency operation

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

“…By collecting data on environmental conditions and infrastructure status, IoT sensors can alert emergency responders to potential emergencies before they become critical. For example, an IoT sensor on a bridge can detect when the bridge is starting to deteriorate and send an alert to maintenance personnel, enabling them to take action before the bridge becomes unsafe [25]. IoT sensors can also be used to automate certain emergency response processes, such as sending alerts or deploying resources [26].…”

“…Disaster response is one of the most critical applications of the Internet of Emergency Services (IoES) [74,75,132]. The IoES can help responders quickly and effectively manage disasters, reduce response times, and save lives [25,139]. In this scenario, the IoES integrates various technologies, such as IoT devices, cloud computing, AI, GIS, wearables, and UAVs, to provide a comprehensive solution for disaster response.…”

Determining Real-Time Communication Feasibility in IoT Systems Supported by LoRaWAN

“…The radios are problem dependent as they vary with the kind of environment in which the network is deployed. In this case, we assume a set of values measured experimentally in [27]. In (8) the distances associated to each SF are shown.…”