An adaptive spreading factor allocation scheme for mobile LoRa networks: Blind ADR with distributed TDMA scheduling

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dc.contributor.authorSoy, Hakki
dc.date.accessioned2024-02-23T14:16:15Z
dc.date.available2024-02-23T14:16:15Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractNowadays, the rapid proliferation of IoT opens up enormous potential for a broad range of ap-plications in every industry. Thanks to the chirp spread spectrum modulation and high receiver sensitivity, LoRa technology has an enormous potential to achieve long range transmission with low power consumption. The most critical bottleneck of the LoRa is the scalability limitations due to ALOHA-based random channel access for uplink packet transmission. When considering the scalability of LoRa networks, ADR (Adaptive Data Rate) is a key mechanism for the LoRaWAN protocol stack which controls the allocation of network resources by appropriately selecting the transmission parameters of end devices. The existing ADR algorithms have been mostly interested for static networks, where both end-devices and gateway(s) are fixed. Unfortunately, these algorithms do not provide the expected performance when it comes to mobility of end devices or gateway(s). This study introduces a clear method for blind ADR implementation, in which the spreading factor assignment made by end devices themselves. The performance of the proposed method has been validated through MATLAB-based computer simulations in urban, suburban, and rural environments. The obtained results show a promising performance in terms of packet reliability and fairness.en_US
dc.identifier.doi10.1016/j.simpat.2023.102755
dc.identifier.issn1569-190X
dc.identifier.issn1878-1462
dc.identifier.scopus2-s2.0-85151277733en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.simpat.2023.102755
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12592
dc.identifier.volume125en_US
dc.identifier.wosWOS:000974278800001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofSimulation Modelling Practice And Theoryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIoten_US
dc.subjectLorawanen_US
dc.subjectMobilityen_US
dc.subjectAdaptive Data Rateen_US
dc.subjectResource Allocationen_US
dc.titleAn adaptive spreading factor allocation scheme for mobile LoRa networks: Blind ADR with distributed TDMA schedulingen_US
dc.typeArticleen_US

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