An IoT-based Fuel Monitoring and Tracking System with Real-time Fuel Level Detection using Accelerometer

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.

Authors

Institutions

Publication Details

Journal
Journal of Scientific Research and Reports
Published
2024-11-26
DOI
https://doi.org/10.9734/jsrr/2024/v30i112633
Citations
2
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An IoT-based Fuel Monitoring and Tracking System with Real-time Fuel Level Detection using Accelerometer

Bhawna Anand, Arun Kumar, H S Kathyayini
2 citations
Journal of Scientific Research and Reports
Fire Detection and Safety Systems
0.73
article

An IoT-based Fuel Monitoring and Tracking System with Real-time Fuel Level Detection using Accelerometer

Bhawna Anand, Arun Kumar, H S Kathyayini
article en
2 citations

Abstract

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.

Journal of Scientific Research and ReportsVol. 30(11)
University of Agricultural Sciences, Bangalore (IN), University of Agricultural Sciences Raichur (IN)
Affordable and clean energy
Openalex Percentile: Top 28%
Fire Detection and Safety Systems
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.