首页    期刊浏览 2025年02月19日 星期三
登录注册

文章基本信息

  • 标题:Methodology for Simulation of IoT-Based Flood Data Collection Infrastructur
  • 本地全文:下载
  • 作者:Azimah Abdul Ghapar ; Salman Yussof
  • 期刊名称:electronic Journal of Computer Science and Information Technology
  • 出版年度:2021
  • 卷号:7
  • 期号:1
  • DOI:10.52650/ejcsit.v7i1.113
  • 语种:English
  • 出版社:College of Information Technology, Universiti Tenaga Nasional
  • 摘要: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.
国家哲学社会科学文献中心版权所有