
Methodology for Simulation of IoT-Based Flood Data Collection Infrastructure
Author(s) -
Azimah Abdul Ghapar,
Salman Yussof
Publication year - 2021
Publication title -
electronic journal of computer science and information technology
Language(s) - English
Resource type - Journals
ISSN - 1985-7721
DOI - 10.52650/ejcsit.v7i1.113
Subject(s) - flood myth , data collection , computer science , internet of things , software , data science , systems engineering , computer security , engineering , geography , statistics , mathematics , archaeology , programming language
Internet of Things (IoT) is a potential technology to be used for data collection tasks in real-world environments. However, due to the difficulty of deploying and testing a real IoT implementation, many researchers end up having to use software simulation to evaluate their proposed techniques. This paper focuses on the use of IoT for collecting flood-related data, which would then use by flood-related applications such as flood prediction applications and flood early warning systems. This paper proposed a methodology for simulating the IoT system used for flood data collection. The proposed methodology consists of four main steps which are identifying the flood environment, defining the architecture for flood data collection, simulating the IoT-based flood data collection infrastructure and analyzing the results. The activities for each step are described in detail as to guide other researchers in the same area to adapt the methodology to their research work.