Energy-efficient LoRaWAN for Industry 4.0 Applications
| dc.contributor.author | Sherazi, Hafiz Husnain Raza | |
| dc.contributor.author | Grieco, Luigi Alfredo | |
| dc.contributor.author | Imran, Muhammad Ali | |
| dc.contributor.author | Boggia, Gennaro | |
| dc.contributor.funder | Ministero dell’Istruzione, dell’Università e della Ricerca | en |
| dc.contributor.funder | Regione Puglia | en |
| dc.contributor.funder | Government of the United Kingdom | en |
| dc.date.accessioned | 2022-01-28T13:20:31Z | |
| dc.date.available | 2022-01-28T13:20:31Z | |
| dc.date.issued | 2020-04-02 | |
| dc.description.abstract | Thanks to its inherent capabilities (such as fairly long radio coverage with extremely low power consumption), long-range wide area network (LoRaWAN) can support a wide spectrum of low-rate use-cases in Industry 4.0. In this article, both plain and energy harvesting (EH) 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 Industry 4.0 in terms of battery life, battery replacement cost, and damage penalty. Then, the EH 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 the plain (nonenergy harvesting) industrial environment while it tends to decrease after a certain interval up to five times lower in EH scenarios. In addition, the carbon emissions due to the presence of LoRa motes and the annual CO 2 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 toward a green industry with cost and energy efficiency optimization. | en |
| dc.description.sponsorship | Ministero dell’Istruzione, dell’Università e della Ricerca (Grant ARS01 01061; Grant ARS01 00254; Grant ARS01 01283; Grant ARS01 00305); Regione Puglia (Research Project INTENTO under Grant 36A49H6); Government of the United Kingdom (Grant for the Scotland 5G Centre) | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Sherazi, H. H. R., Grieco, L. A., Imran, M. A. and Boggia, G. (2020) 'Energy-efficient LoRaWAN for Industry 4.0 Applications', IEEE Transactions on Industrial Informatics, 17(2), pp. 891-902. doi: 10.1109/TII.2020.2984549 | en |
| dc.identifier.doi | 10.1109/TII.2020.2984549 | en |
| dc.identifier.eissn | 1941-0050 | |
| dc.identifier.endpage | 902 | en |
| dc.identifier.issn | 1551-3203 | |
| dc.identifier.issued | 2 | en |
| dc.identifier.journaltitle | IEEE Transactions on Industrial Informatics | en |
| dc.identifier.startpage | 891 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/12504 | |
| dc.identifier.volume | 17 | en |
| dc.language.iso | en | en |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
| dc.rights | © 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
| dc.subject | Batteries | en |
| dc.subject | Monitoring | en |
| dc.subject | Industries | en |
| dc.subject | Energy harvesting | en |
| dc.subject | Sensors | en |
| dc.subject | Informatics | en |
| dc.title | Energy-efficient LoRaWAN for Industry 4.0 Applications | en |
| dc.type | Article (peer-reviewed) | en |
