Internet-of-Things Based Approach for Monitoring Pharmaceutical Cold Chain

Chandra, Abel and Back, Jong and Lee, Seong (2014) Internet-of-Things Based Approach for Monitoring Pharmaceutical Cold Chain. The Journal of Korean Institute of Communications and Information Sciences, 39C (9). pp. 828-840. ISSN 14-39C-09-09

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Abstract

There is a new evolution in technological advancement taking place called the Internet of Things (IoT). The IoT enables
physical world objects in our surroundings to be connected to the Internet. For this idea to come to life, two architectures are required: the Sensing Entity in the environment which collects data and connects to the cloud and the Cloud Service that hosts the data. In particular, the combination of wireless sensor network for sensing and cloud computing for managing sensor data is becoming a popular intervention for the IoT era. The pharmaceutical cold chain requires controlled environmental conditions for the sensitive products in order for them to maintain their potency and fit for consumption. The monitoring of distribution process is the only assurance that a process has been successfully validated. The distribution process is so critical that anomaly at any point will result in the process being no longer valid. Taking the cold chain monitoring to IoT and using its benefits and power will result in better management and product handling in the cold chain. In this paper, Arduino based wireless sensor network for storage and logistics (land and sea) is presented and integrated with Xively cloud service to offer a real-time and innovative solution for pharmaceutical cold chain monitoring.

Item Type:	Journal Article
Uncontrolled Keywords:	Internet of Things, Cloud Service, Wireless Sensor Network, Pharmaceutical Cold Chain,Arduino, ZigBee, Near Field Communication
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Abel Chandra
Date Deposited:	09 May 2018 03:36
Last Modified:	09 May 2018 03:36
URI:	https://repository.usp.ac.fj/id/eprint/10709

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