An IoT-based Fuel Monitoring and Tracking System with Real-time Fuel Level Detection using Accelerometer
Anand B A, Kathyayini H S, Arun Kumar
Journal of Scientific Research and Reports · pp. 1064–1070 · Published 26 Nov 2024
10.9734/jsrr/2024/v30i112633Abstract
In the transportation sector, effective fuel management is essential due to increasing environmental and economic concerns. However, traditional fuel level indicators often lack the necessary precision for optimizing fuel consumption. This paper introduces a novel IoT-based fuel monitoring and tracking system designed to overcome these challenges. By combining an accelerometer for real-time fuel level detection with GPS for location tracking and mileage calculation, the system provides comprehensive monitoring capabilities. Additionally, cloud-based data processing and a user-friendly mobile application enable real-time data visualization and analysis. This integrated approach empowers fleet managers and vehicle owners to make informed, data-driven decisions that enhance fuel efficiency, lower operational costs, and reduce environmental impact.
Cited by 2
Feifei Wu, Yingzi Zhou, Yunsong Luo · 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE) · 2025
Perpetua Lacorunha Purba, Albertus Dwiyoga Widiantoro, Stephani Inggrit Swastini Dewi · 2025 12th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) · 2025
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