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LoRaWAN Performance Analysis for a Water Monitoring and Leakage Detection System in a Housing Complex.

Atheer M Alghamdi1, Enas F Khairullah1, Mohammad M Al Mojamed2

  • 1Information Technology Department, Faculty of Computers and Information Technology, King Abdulaziz University, Jeddah 23713, Saudi Arabia.

Sensors (Basel, Switzerland)
|October 14, 2022
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Summary

This study demonstrates that Long-Range Wide-Area Network (LoRaWAN) is an efficient solution for automated water leakage detection and monitoring in housing complexes, overcoming the cost barriers of traditional Internet of Things (IoT) systems.

Keywords:
FloRaIoTLPWANLoRaWANhousing complexleakage detectionwater monitoring

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Area of Science:

  • * Internet of Things (IoT) applications
  • * Wireless communication networks
  • * Water management systems

Background:

  • * Automated water leakage detection and monitoring systems are enabled by IoT.
  • * High costs of traditional IoT networks hinder large-scale deployment.
  • * Low-Power Wide-Area Networks (LPWANs), such as Long-Range Wide-Area Network (LoRaWAN), offer a cost-effective solution for long-range IoT.

Purpose of the Study:

  • * To test and evaluate a LoRaWAN-based method for water leakage monitoring and detection in a housing complex.
  • * To assess the feasibility, reliability, and scalability of LoRaWAN for this application.
  • * To identify LoRaWAN's effectiveness in simulated housing complex scenarios.

Main Methods:

  • * Implementation of a LoRaWAN network for water leakage detection.
  • * Utilization of a low-pressure system model with a water meter, presser sensor, and smart valve within a LoRa node.
  • * Simulation and evaluation using the FloRa simulator package on the Objective Modular Network Testbed (OMNeT++) platform.

Main Results:

  • * The LoRaWAN system proved effective in monitoring and detecting water leakage.
  • * The system demonstrated feasibility and reliability in simulated housing complex environments.
  • * Scalability was assessed across varying housing complex sizes and node densities.

Conclusions:

  • * LoRaWAN is a viable and efficient technology for water leakage detection and monitoring in housing complexes.
  • * The proposed system effectively addresses the cost challenges associated with large-scale IoT deployments.
  • * The study confirms LoRaWAN's suitability for smart water management in residential settings.