Sherazi, H. H. R., Grieco, L. A., Imran, M. A. and Boggia, G. (2021) Energy-efficient LoRaWAN for industry 4.0 applications. IEEE Transactions on Industrial Informatics, 17(2), pp. 891-902. (doi: 10.1109/TII.2020.2984549)
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Abstract
Thanks to its inherent capabilities (such as, fairly long radio coverage with extremely low power consumption), LoRaWAN can support a wide spectrum of low rate use-cases in the industry 4.0. In this paper, both plain and energy harvesting industrial environments are considered to study the performance of LoRa radios for industrial automation. In the first instance, a model is presented to investigate LoRaWAN in the industry 4.0 in terms of battery life, battery replacement cost, and damage penalty. Then, the energy harvesting potential, available within an industry 4.0, is highlighted to demonstrate the impact of harvested energy on the battery life and sensing interval of LoRa motes deployed across a production facility. The key outcome of these investigations is the cost trade-off analysis between battery replacement and damage penalty along different sensing intervals which demonstrates a linear increase in aggregate cost up to £1500 in case of 5 min sensing interval in plain (non-energy harvesting) industrial environment while it tends to decrease after a certain interval up to five times lower in Energy Harvesting (EH) scenarios. In addition, the carbon emissions due to the presence of LoRa motes and the annual CO2 emission savings per node have been recorded up to 3 kg/kWh when fed through renewable energy sources. The analysis presented herein could be of great significance towards a green industry with cost and energy efficiency optimization.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Sherazi, Hafiz Husnain Raza and Imran, Professor Muhammad |
Authors: | Sherazi, H. H. R., Grieco, L. A., Imran, M. A., and Boggia, G. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | IEEE Transactions on Industrial Informatics |
Publisher: | IEEE |
ISSN: | 1551-3203 |
ISSN (Online): | 1941-0050 |
Published Online: | 02 April 2020 |
Copyright Holders: | Copyright © 2020 IEEE |
First Published: | First published in IEEE Transactions on Industrial Informatics 17(2): 891-902 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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