QABSC: Enhancing Millet Supply Chain Transparency and Integrity with Queueing-Assisted Fog Computation and IPFS-Based Blockchain Smart Contracts in an IoVT Environment

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Authors: Soubhagya Ranjan Mallick, Princy Diwan, Nitin Rakesh, Veena Goswami, Snehlata Wankhade, Rakesh Kumar Lenka, Rabindra K. Barik, Manob Jyoti Saikia
Cited by: 3
References: 33

Abstract

Abstract Food security and the stakeholders’ trust are essential to ensure that agricultural supply chains are transparent and secure. This research presents a Queueing-Assisted Blockchain Smart Contract (QABSC) framework to enhance end-to-end traceability in the millet supply chain. The framework incorporates fog computing into real-time data processing to reduce latency and optimizes transaction flow using queueing techniques, thereby ensuring an efficient and scalable blockchain supply chain platform. The Internet of Vehicles and Things (IoVT) connects cars, sensors, roadside infrastructure, and cloud and edge technologies to make transportation and mobility smarter. By integrating fog-layer intelligence with blockchain-based immutable record-keeping, Internet of Vehicles and Things enabled sensing and vehicular logistics, and end-to-end visibility, the proposed system may ensure tamper-resistant monitoring of millet products from farms to customers. Internet of Things (IoT) sensors collect real-time information about millet quality and storage conditions. This data is securely stored using the InterPlanetary File System (IPFS) and verified by smart contracts on a distributed ledger. This approach ensures automated compliance verification for auditors and regulators, immutable data storage, and conditional privacy. The proposed model reduces bottlenecks in blockchain transaction processing and enhances efficiency, privacy, data integrity, and trust among producers, distributors, retailers, farmers, and buyers. The proposed model is evaluated based on key performance metrics. The experimental evaluations of the proposed framework demonstrate enhanced throughput, improved transparency, reduced computational overhead, and robust security. This research focuses on a unique integration of smart contracts, queueing theory, IPFS, Fog Computing, IoT devices, and blockchain technology to promote sustainable and transparent millet supply chain management.

Fields of Study & Subjects

Blockchain Technology Applications and Security Food Supply Chain Traceability Smart Agriculture and AI

Publication details

Journal / source
SN Computer Science
Publisher
Springer Science and Business Media LLC
Volume
7
Issue
5
Publication date
1 June 2026
Language
EN