MiSREd: A Low Cost IoT-Enabled Platform Based on Heterogeneous Wireless Network for Flood Monitoring

Abstract

Motivated by an inherent difficulty of foreseeing the exact occurrence of disasters, attempts to rapidly detect and forecast associated information leading towards and in the aftermath of the disaster events can help minimize casualties and collateral damage, particularly in the rural and crowded urban environment. An emerging Internet of Things (IoT) technology is considered promising for these purposes due to Its inherent capability of capturing, sending and processing various types of environmental field data in real-time over a large geographical area. In this paper, the authors introduced MiSREd (Multi-input, Scalable, Reliable, and Easy-to-deploy) as the authors’ new low cost IoT platform envisioned to meet the needs of an integrated disaster management system. A key part of the MiSREd platform is the incorporation of heterogeneous wireless networks for improvement reliability and availability of message telemetry. Moreover, deployment of low-overhead protocols can improve the network traffic with a lower bandwidth load as a result of data reduction applied to the MQTT protocol. In order to evaluate the effectiveness of MiSREd, an IoT testbed was developed and evaluation was conducted at Western Flood Canal in Semarang, Indonesia. Data transmission testing in the backhaul using the MQTT protocol showed achievement of a transmission delay

Flood Vulnerability and Resiliency in Coastal Areas Based on Geographic Information Systems (GIS) and Dynamic

“…Methods are needed to forecast the occurrence of disasters, especially floods, precisely to detect and predict information related to disasters and can minimize damage and more casualties [33]. According to [34], System Dynamics (SD) is a simulation modelling approach that represents the structure of complex systems through material and information feedback loops formed around stocks, flows, and additional variables.…”