Designing an Archival System for Long-Term Fuel System Data Analysis
International Scientific Journal of Engineering and Management, 3(9)
September 20, 2024
Fuel stations generate continuous transaction data, and keeping all of it in primary storage raises cost and retrieval latency. This paper proposes a tiered archival system using metadata indexing and MongoDB TTL indexes and sharding, moving data older than three months into an archival repository that stays accessible on demand for historical analysis, compliance and anomaly detection.
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Tags: Analytics, Big Data, Cloud
Using MongoDB Sync to Replace Kinesis for Real-Time Fuel Data Update
International Journal of Innovative Research and Creative Technology, 10(2)
April 09, 2024
Fuel controllers stream transaction data to the cloud, and routing it through AWS Kinesis and Lambda adds processing stages, latency and operational cost. This paper tests synchronizing local MongoDB instances inside the fuel controllers directly to cloud-hosted MongoDB instead, removing the event-driven computation layer.
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Tags: Big Data, Cloud, IoT
Leveraging MongoDB Multi-Sharding to Decrease Latency to Store and Retrieve Fuel Transactions
Journal of Artificial Intelligence, Machine Learning and Data Science, 2(1)
March 30, 2024
Rising fuel transaction volumes strain traditional relational databases, and the resulting latency slows reconciliation, compliance checks and fraud detection. This paper distributes fuel transaction data across MongoDB shards and measures how horizontal scaling, replication and parallelised queries affect read and write latency, scalability and fault tolerance.
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Tags: Big Data, Cloud
Customizable Notification Systems for Critical Fuel System Events
Journal of Artificial Intelligence, Machine Learning and Data Science, 2(1)
February 28, 2024
A notification system that draws on fuel controller, ATG and cloud monitoring data to alert operators to events such as theft, slow pumping, pump anomalies, leaks and low fuel stock. Thresholds, triggers and delivery channels including SMS, email and mobile apps are configurable, and historical data is used to tune alert sensitivity.
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Tags: Cloud, IoT
Automated Reporting Software for Fuel Usage and Dispenser Activity
International Journal of Multidisciplinary Research and Growth Evaluation, 4(5)
September 20, 2023
Manual reconciliation of fuel usage is slow and prone to error, which leads to financial discrepancies and compliance problems. This paper describes software that aggregates dispenser transactions and ATG readings into daily and monthly reconciliation reports, flagging over and short trends so operators can correct them before losses grow.
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Tags: Analytics, IoT
Standardizing Data Formats for Fuel Dispenser and ATG Integration
Journal of Artificial Intelligence, Machine Learning and Data Science, 1(2)
May 30, 2023
Dispensers and automatic tank gauges communicate in a mix of proprietary formats, including XML, byte messages and vendor-specific protocols, which complicates aggregation, leak detection and cloud analytics. This paper uses the fuel controller as a central processing point that collects, validates and converts that data into a standard JSON structure.
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Tags: Big Data, IoT
Software-Driven Automated Leak Detection in Fuel Storage Tank Systems
International Journal of Leading Research Publication, 4(3)
March 08, 2023
Tank leaks are usually caught by manual inspection and periodic checks, which are slow and easy to get wrong. This paper aggregates fuel transaction data and ATG levels in Redis, compares dispensed volume against the tank level recorded after each transaction, and triggers an AWS Lambda function to halt pump transactions and alert staff when the figures do not reconcile.
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Tags: Analytics, IoT
Enhancing Fuel Station Cybersecurity: Securing IoT Devices and Cloud Data
Journal of Artificial Intelligence, Machine Learning and Data Science, 1(1)
January 30, 2023
IoT-enabled dispensers and automated tank gauge systems widen the attack surface at a fuel station, exposing it to unauthorised access and data breaches. This paper puts a custom authorizer Lambda function in AWS in front of those devices so each one is authenticated before it reaches AWS services, alongside encryption, role-based access control and JSON Web Token based authentication.
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Tags: Cloud, Cybersecurity, IoT
Developing Encrypted Communication Protocols for Fuel Controllers
International Scientific Journal of Engineering and Management, 1(1)
August 23, 2022
Fuel controllers stream dispenser activity, tank levels and transaction data to cloud platforms, where interception or unauthorised access is a real risk. This paper sets out an encryption protocol that encrypts the data before it is pushed to AWS Kinesis and decrypts it at the data processor, comparing encryption methods against the need to keep monitoring in real time.
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Tags: Cybersecurity, IoT
Efficient Caching Mechanisms with Redis for Fuel Dispenser Data
Journal of Engineering and Applied Sciences Technology, 4(1)
February 20, 2022
ATG and dispenser data has to be retrieved quickly for reconciliation, reporting and anomaly detection, and database queries add latency at busy sites. This paper uses Redis on AWS ElastiCache as a caching layer for fuel meter readings and tank levels, reducing query overhead on primary storage while keeping historical records available for audits.
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Tags: Big Data, Cloud
Reducing Latency in Cloud-Based Fuel Monitoring Systems
International Journal of Leading Research Publication, 2(11)
November 03, 2021
Cloud-based fuel monitoring handles large volumes of data from automatic tank gauge devices and pump dispensers, where latency affects inventory tracking and leak detection. This paper examines where delay enters an end-to-end pipeline under varying network conditions and how to keep it low.
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Tags: Cloud, IoT
Improving Software Response Times for Fuel Controller Queries
International Journal of Multidisciplinary Research and Growth Evaluation, 2(2)
March 01, 2021
Distance between fuel stations and cloud services introduces latency in queries directed at fuel controllers, which affects safety checks and maintenance alerts. This paper proposes a multi-region, high-availability architecture using geographically distributed cloud resources and load balancing to make those queries more responsive.
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Tags: Cloud, IoT
Scalable Cloud Solutions for Multi-Station Fuel Data Aggregation
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 8(5)
September 08, 2020
Each station in a multi-station network produces a high volume of dispenser and tank data. This paper pairs an elastic container service with load balancers so that individual functions, from dispenser data collection to reconciliation, can be scaled and updated independently while traffic is distributed across them.
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Tags: Big Data, Cloud, IoT
Developing a Microservices Architecture for Fuel Station Monitoring Systems Using AWS Lambda
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 8(4)
July 08, 2020
Fuel station monitoring has traditionally run on monolithic software that ties dispenser data collection and automated tank gauge handling together. This paper sets out a serverless microservices design built on AWS Lambda, taking in continuous data from pumps and ATG sensors alongside real-time analytics.
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Tags: Cloud, IoT
Creating Software for Real-Time Visualization of ATG Data
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 7(6)
December 04, 2019
Automatic tank gauge systems track fuel levels, temperature and leaks, but older ATG software is slow and limited in how it presents that data. This paper covers the architecture, API design, security protocols and interface work behind a system for visualizing ATG data in real time.
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Tags: Analytics, IoT
Software for Real-Time Reconciliation Between ATG and Pump Data
International Journal of Core Engineering and Management, 6(6)
November 01, 2019
Readings from automatic tank gauges and pump dispenser logs often disagree because of sensor drift, evaporation, theft, miscalibration or pipeline leaks, and manual batch reconciliation is slow and error-prone. This paper describes software that reconciles the two sources in real time.
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Tags: Analytics, IoT
Keynote Speaker, ICEAR 2025, Republic of Korea
ICEAR 2025, Republic of Korea
July 15, 2025
Keynote at ICEAR 2025 in the Republic of Korea. The conference ran July 15 to 17, 2025.
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Tags: Cloud, Emerging Technology, IoT
Keynote Speaker, ICIRD 2025 at INTI International University, Malaysia
ICIRD 2025, INTI International University, Malaysia
February 17, 2025
Keynote at ICIRD 2025, hosted by INTI International University in Malaysia. The conference ran February 17 to 19, 2025.
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Tags: Cloud, Emerging Technology, IoT
Distinguished Keynote Speaker, ICMR 2024 at IIT Madras Research Park
International Conference on Multidisciplinary Research and Innovation (ICMR-2024), IIT Alumni Industry Interaction Center, IIT Madras Research Park, C
December 15, 2024
Keynote at ICMR 2024, held in hybrid mode at the IIT Alumni Industry Interaction Center in IIT Madras Research Park, Chennai.
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Tags: Cloud, Emerging Technology, IoT
Invited Speaker, 6th IEEE ICRTCST-2026
