Design and Experimental Characterization of a Solar-Powered Multi-Sensor Instrumentation System for Smart Dumpster Monitoring and GPS Tracking

This study presents the design and experimental characterization of a solar-powered multi-sensor instrumentation system for smart waste monitoring and GPS tracking. The developed system integrates an ultrasonic sensor for waste-level measurement, a GPS module for location tracking, a GSM communication unit for remote notification, and a photovoltaic power subsystem for autonomous operation. An Arduino-based controller was employed for data acquisition, processing, and communication. Experimental evaluation was conducted to determine the performance of the sensing, communication, positioning, and power-management subsystems. Results showed a waste-level measurement accuracy of 99.1% with an average sensor error of 0.28 cm, demonstrating high reliability for real-time monitoring applications. The GPS subsystem achieved an average positioning accuracy of 3.3 m, enabling effective location identification and tracking of the waste bin. The solar-energy subsystem delivered a maximum output power of 40 W, while the battery backup system sustained continuous operation for approximately 15.6 h under test conditions. The servo-actuated lid mechanism exhibited an average response time of 0.81 s, ensuring prompt system operation. Furthermore, the GSM communication module achieved a 100% message transmission success rate during the experimental trials. The results demonstrate that the prototype instrumentation system provides reliable sensing, communication, and energy autonomy for intelligent waste-management applications. The integration of renewable energy, multi-sensor monitoring, and wireless communication offers a practical and sustainable solution for smart-city dumpster-monitoring infrastructure.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-10-13
DOI
https://doi.org/10.64388/irev10i4-1723922
Primary Topic
Arduino and IoT Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Design and Experimental Characterization of a Solar-Powered Multi-Sensor Instrumentation System for Smart Dumpster Monitoring and GPS Tracking

Abdul-wasiu Alani Olowosebioba, Fatai Sunday Akingbade, Isaiah Olaoluwapo Andrew
Iconic Research and Engineering Journals
Arduino and IoT Applications
article

Design and Experimental Characterization of a Solar-Powered Multi-Sensor Instrumentation System for Smart Dumpster Monitoring and GPS Tracking

Abdul-wasiu Alani Olowosebioba, Fatai Sunday Akingbade, Isaiah Olaoluwapo Andrew
article en

Abstract

This study presents the design and experimental characterization of a solar-powered multi-sensor instrumentation system for smart waste monitoring and GPS tracking. The developed system integrates an ultrasonic sensor for waste-level measurement, a GPS module for location tracking, a GSM communication unit for remote notification, and a photovoltaic power subsystem for autonomous operation. An Arduino-based controller was employed for data acquisition, processing, and communication. Experimental evaluation was conducted to determine the performance of the sensing, communication, positioning, and power-management subsystems. Results showed a waste-level measurement accuracy of 99.1% with an average sensor error of 0.28 cm, demonstrating high reliability for real-time monitoring applications. The GPS subsystem achieved an average positioning accuracy of 3.3 m, enabling effective location identification and tracking of the waste bin. The solar-energy subsystem delivered a maximum output power of 40 W, while the battery backup system sustained continuous operation for approximately 15.6 h under test conditions. The servo-actuated lid mechanism exhibited an average response time of 0.81 s, ensuring prompt system operation. Furthermore, the GSM communication module achieved a 100% message transmission success rate during the experimental trials. The results demonstrate that the prototype instrumentation system provides reliable sensing, communication, and energy autonomy for intelligent waste-management applications. The integration of renewable energy, multi-sensor monitoring, and wireless communication offers a practical and sustainable solution for smart-city dumpster-monitoring infrastructure.

Iconic Research and Engineering JournalsVol. 10(4)
Lagos State University (NG), Ogun State Institute of Technology Igbesa (NG)
Tertiary Education Trust Fund
Openalex Percentile: Top 23%
Arduino and IoT Applications
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