Autonomous collision-free scheduling for LoRa-based industrial Internet of Things

Simple item page
dc.contributor.authorZorbas, Dimitrios
dc.contributor.authorO'Flynn, Brendan
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderHorizon 2020en
dc.contributor.funderH2020 Marie Skłodowska-Curie Actionsen
dc.date.accessioned2019-09-19T11:11:10Z
dc.date.available2019-09-19T11:11:10Z
dc.date.issued2019-06
dc.date.updated2019-09-19T11:04:47Z
dc.description.abstractLoRa-based transmissions suffer from extensive collisions even for low node numbers due to unregulated access to the medium. In order to tackle this problem, we propose a collision-free time-slotted scheduling approach where each node autonomously decides when to transmit a packet based on its unique identifier which is converted to a slot number using a modulo operation. We report through simulations and real experiments that this approach can provide very high reliability when the nodes are synchronized. Moreover, it does not require any additional communication overhead apart from a broadcast packet emitted by the gateway. Our comparison with the native LoRa, as well as to a slotted-LoRa version, shows significant performance gains in terms of packet delivery ratio, especially in the case of low node populations.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZorbas, D. and O'Flynn, B. (2019) 'Autonomous Collision-Free Scheduling for LoRa-Based Industrial Internet of Things'. 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), Washington, DC, USA, 10-12 June 2019, 1-5. doi: 10.1109/WoWMoM.2019.8792975en
dc.identifier.doi10.1109/WoWMoM.2019.8792975en
dc.identifier.endpage5en
dc.identifier.isbn978-1-7281-0270-2
dc.identifier.isbn978-1-7281-0271-9
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8575
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGEen
dc.relation.urihttps://ieeexplore.ieee.org/document/8792975
dc.rights© 2019 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.subjectInternet of Thingsen
dc.subjectMobile radioen
dc.subjectSynchronisationen
dc.subjectTelecommunication schedulingen
dc.subjectWide area networksen
dc.subjectSlotted-LoRa versionen
dc.subjectPacket delivery ratioen
dc.subjectAutonomous collision-free schedulingen
dc.subjectLoRa-based transmissionsen
dc.subjectSlot numberen
dc.subjectModulo operationen
dc.subjectBroadcast packeten
dc.subjectCollision-free time-slotted schedulingen
dc.subjectLoRa-based industrial Internet of Thingsen
dc.subjectCommunication overheaden
dc.subjectLogic gatesen
dc.subjectJob shop schedulingen
dc.subjectBandwidthen
dc.subjectOptimal schedulingen
dc.subjectSynchronizationen
dc.subjectSchedulesen
dc.titleAutonomous collision-free scheduling for LoRa-based industrial Internet of Thingsen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
11016_Autonomous_scheduling_of_LoRa_based_transmissions.pdf
Size:
262.46 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Tyndall National Institute - Conference Items