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Cloud-Based IoE Enabled an Urban Flooding Surveillance System.

R Dhaya1, Tariq Ahamed Ahanger2, G R Asha3

  • 1Department of Computer Science, College of Arts and Science-Sarat Abidha, King Khalid University, Abha, Saudi Arabia.

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Summary
This summary is machine-generated.

Urban flooding is a growing concern. This study proposes an Internet of Things (IoT) based system for real-time flood monitoring and high-definition video surveillance, improving data transmission from affected areas to control rooms.

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Area of Science:

  • Environmental Science
  • Computer Science
  • Civil Engineering

Background:

  • Urban flooding is exacerbated by intense rainfall, deforestation, and poor urban planning.
  • Current flood assessment is hindered by delayed data transmission from affected areas to control rooms.
  • Existing monitoring techniques face challenges in real-time, lossless data sharing and video quality in wireless environments.

Purpose of the Study:

  • To design a mobile ad-hoc network for flood environments.
  • To develop an urban flood high-definition video surveillance system utilizing IoT sensors.
  • To address challenges in data transmission and video quality for effective flood monitoring.

Main Methods:

  • Design of a mobile ad-hoc flooding environment.
  • Development of an urban flood high-definition video surveillance system using IoT-based sensors.
  • Experimental simulation for performance evaluation.

Main Results:

  • The proposed system aims to enable immediate data transfer from flood-affected regions.
  • Enhancement of video quality for better flood event assessment.
  • Improved data reliability and reduced data loss in wireless ad-hoc networks.

Conclusions:

  • The developed IoT-based system offers a robust solution for real-time urban flood monitoring.
  • The study addresses critical data transmission and video quality issues in disaster management.
  • This approach facilitates timely information for effective flood prediction and mitigation strategies.