TS-LoRa: Time-slotted LoRaWAN for the Industrial Internet of Things

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dc.contributor.author Zorbas, Dimitrios
dc.contributor.author Abdelfadeel, Khaled
dc.contributor.author Kotzanikolaou, Panayiotis
dc.contributor.author Pesch, Dirk
dc.date.accessioned 2020-03-05T09:33:31Z
dc.date.available 2020-03-05T09:33:31Z
dc.date.issued 2020-03-01
dc.identifier.citation Zorbas, D., Abdelfadeel, K., Kotzanikolaou, P. and Pesch, D. (2020) 'TS-LoRa: Time-slotted LoRaWAN for the Industrial Internet of Things', Computer Communications, 153, pp. 1-10. doi: 10.1016/j.comcom.2020.01.056 en
dc.identifier.volume 153 en
dc.identifier.startpage 1 en
dc.identifier.endpage 10 en
dc.identifier.issn 0140-3664
dc.identifier.uri http://hdl.handle.net/10468/9722
dc.identifier.doi 10.1016/j.comcom.2020.01.056 en
dc.description.abstract Automation and data capture in manufacturing, known as Industry 4.0, requires the deployment of a large number of wireless sensor devices in industrial environments. These devices have to be connected via a reliable, low-latency, low-power and low operating-cost network. Although LoRaWAN provides a low-power and reasonable-cost network technology, its current ALOHA-based MAC protocol limits its scalability and reliability. A common practise in wireless networks is to solve this issue and improve scalability through the use of time-slotted communications. However, any time-slotted approach comes with overheads to compute and disseminate the transmission schedule in addition to ensuring global time synchronisation. Affording these overheads is not straight forward with LoRaWAN restrictions on radio duty-cycle and downlink availability. Therefore, in this work, we propose TS-LoRa, an approach that tackles these overheads by allowing devices to self-organise and determine their slot positions in a frame autonomously. In addition to that, only one dedicated slot in each frame is used to ensure global synchronisation and handle acknowledgements. Our experimental results with 25 nodes show that TS-LoRa can achieve more than 99% packet delivery ratio even for the most distant nodes. Moreover, our simulations with a higher number of nodes revealed that TS-LoRa exhibits a lower energy consumption than the confirmable version of LoRaWAN while not compromising the packet delivery ratio. en
dc.description.sponsorship Science Foundation Ireland (CONFIRM fund under Grant Number 16/RC/3918) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier B.V. en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0140366419314677
dc.rights © 2020, the Authors. Published by Elsevier B.V. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject LoRa en
dc.subject Industrial Internet of Things en
dc.subject Synchronisation en
dc.subject Acknowledgements en
dc.title TS-LoRa: Time-slotted LoRaWAN for the Industrial Internet of Things en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Dirk H J Pesch, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: dirk.pesch@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-03-03T10:48:30Z
dc.description.version Published Version en
dc.internal.rssid 504849228
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Horizon 2020 en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Computer Communications en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress dirk.pesch@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE en


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© 2020, the Authors. Published by Elsevier B.V. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2020, the Authors. Published by Elsevier B.V. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/).
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