Published December 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Conceptual Design of an Internet of Things (IoT)-Based Water Level Monitoring System for Efficient Water Resource Management

Authors/Creators

  • 1. Department of Mechanical and Mechatronics Engineering, Federal Polytechnic, Ado-Ekiti, Nigeria.

Contributors

  • 1. Department of Mechanical and Mechatronics Engineering, Federal Polytechnic, Ado-Ekiti, Nigeria.
  • 2. Department of Agricultural & Bio-Resources Engineering, Federal Polytechnic, Ado-Ekiti, Nigeria.
  • 3. Impact Laboratory (Technical) Department, Innov8 Hub, Abuja, Nigeria.

Description

Abstract: Water scarcity and ineffective water management remain demanding global challenges, particularly in regions where manual monitoring methods dominate. This study presents the conceptual design of an Internet of Things (IoT)-based water-level monitoring system to improve the efficiency, accuracy, and sustainability of water resource management. The designed system integrates ultrasonic sensors, low-power microcontrollers, and wireless communication modules connected to a cloud-based platform for real-time data acquisition. Using IoT technology, the system provides accurate, timely water-level information, enabling informed decision-making and proactive management. It incorporates sensors, wireless communication, data analytics, and visualisation techniques to optimise water use, detect anomalies, and allow remote monitoring. By providing continuous, precise measurements, the system enhances decision-making across areas such as flood control, irrigation scheduling, and reservoir management. The system is scalable, adaptable, and cost-effective, making it ideal for residential, commercial, and agricultural water systems. The integration of IoT technology has the potential to transform water resource management practices and support long-term water conservation efforts.

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Additional details

Identifiers

DOI
10.35940/ijese.L2623.14011225
EISSN
2319-6378

Dates

Accepted
2025-12-15
Manuscript received on 24 October 2025 | First Revised Manuscript received on 29 October 2025 | Second Revised Manuscript received on 21 November 2025 | Manuscript Accepted on 15 December 2025 | Manuscript published on 30 December 2025.

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