Mishra et al. Res. Trends Int. J. Technol. Innov., April - June 2026, 1 (2) : 27-35
1Department of Computer Science, Birla Institute of Technology and Science, Pilani, India; 2Department of Information Technology, Jadavpur University, Kolkata, India
Article History
Accepted : 25 May 2026
Published : 29 Jun 2026
Publication Issue
Volume 1, Issue 2
April - June 2026
Page Number27–35
Counterfeit pharmaceuticals and cold-chain excursions remain persistent global health risks, and traditional centralised tracking databases depend on manual custody logging that is prone to delay and tampering. This paper implements an IoT sensor network traceability system that records custody transfer events from manufacturer to pharmacy using RFID-tagged shipment nodes, with an edge gateway rule engine enforcing temperature-excursion checks for cold-chain products. A simulated deployment across five distribution nodes processed 1,200 custody events per minute with sub-second reporting latency, and a genealogy query for any batch traced its full custody chain in under 200 milliseconds.
Keywords - Internet of Things, cold-chain monitoring, pharmaceutical traceability, RFID tracking, supply chain sensing
Centralised track-and-trace databases for pharmaceuticals create a single point of failure and depend on custody events being logged manually and consistently at every handoff, whereas an IoT sensor network with RFID-tagged nodes and automated edge gateways can capture custody transfer and temperature events continuously without manual intervention.
An IoT sensor network was configured with five distribution nodes representing a manufacturer, two distributors, a regulator checkpoint and a pharmacy chain, each equipped with RFID readers and temperature loggers reporting to a local edge gateway over MQTT. Gateway rule logic recorded batch creation, custody transfer, and temperature-log events, with an embedded rule rejecting transfers where logged temperature exceeded product-specific thresholds.
The network sustained 1,200 custody events per minute with average end-to-end reporting latency of 0.7 seconds under simulated load representative of a mid-sized distribution network, and genealogy queries tracing a batch full custody history returned results in under 200 milliseconds regardless of chain depth up to 12 hops tested.
IoT sensor network infrastructure can support pharmaceutical traceability at throughput levels compatible with real distribution networks while enforcing cold-chain compliance automatically. Future work will pilot integration with existing ERP systems at a mid-sized distributor.
[1] Atzori L. et al., The internet of things: A survey, Computer Networks, 2010. [2] Mackey T. K. and Nayyar G., A review of existing and emerging digital technologies to combat pharmaceutical counterfeiting, Expert Opinion on Drug Safety, 2017.
© 2026 The Author(s). Published by IJEIA Editorial Office. This is an open access article under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abhinav Mishra, Riya Kapadia (2026). An IoT Sensor Network Framework for Real-Time Pharmaceutical Cold-Chain Custody Tracking. IJEIA, 1(2), 27-35.
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