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Context aware middleware for RFID based pharmaceutical supply chain

Citation

Chamekh, M and Hamdi, M and Asmi, SE and Kim, T-H, Context aware middleware for RFID based pharmaceutical supply chain, Proceedings from the 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 26-30 June 2017, Valencia, Spain, pp. 1915-1920. ISBN 9781509043729 (2017) [Refereed Conference Paper]

Copyright Statement

Copyright 2017 IEEE

DOI: doi:10.1109/IWCMC.2017.7986576

Abstract

Radio frequency identification (RFID) technology is paramount for the automation and optimization of supply-chain activities. RFID tags can drastically improve the efficiency of inventory management, especially in the pharmacy supply chain. Thus, the drugs tracking can be enhanced in the pharmaceutical manufacturing plants all across the world paving the way for the wide deployment of the Internet of Things (IoT). The connected things in manufacturing processes have gained prominence owing to the growing number of unqualified pharmacies and counterfeit drugs. These sensors continuously generate a large amount of contextual information like locations and time points so as to control and manage drugs quality and distribution. Based on these contextual information, business logic can be implemented efficiently. Collection, modeling, reasoning, and distribution of context in relation to sensor data plays a critical role. In this paper, we propose a context-aware middleware for RFID based pharmacy supply chain, which aims to offer a deeper intelligence for the objects monitoring.A variant of Fosstrack middleware was proposed to offer a deeper intelligence in the RFID based supply chain.

Item Details

Item Type:Refereed Conference Paper
Keywords:pharmaceutical supply chain, context aware, RFID, middleware
Research Division:Information and Computing Sciences
Research Group:Other information and computing sciences
Research Field:Other information and computing sciences not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Kim, T-H (Dr Tai Kim)
ID Code:125225
Year Published:2017
Deposited By:Information and Communication Technology
Deposited On:2018-04-09
Last Modified:2018-06-15
Downloads:0

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