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A survey of LoRaWAN adaptive data rate algorithms for possible optimization

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dc.contributor.author Lehong, C
dc.contributor.author Isong, B
dc.contributor.author Lugayizi, F
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2021-02-18T09:26:23Z
dc.date.available 2021-02-18T09:26:23Z
dc.date.issued 2020-11
dc.identifier.citation Lehong, C., Isong, B., Lugayizi, F. & Abu-Mahfouz, A.M. 2020. A survey of LoRaWAN adaptive data rate algorithms for possible optimization. http://hdl.handle.net/10204/11793 . en_ZA
dc.identifier.isbn 978-1-7281-9520-9
dc.identifier.isbn 978-1-7281-9521-6
dc.identifier.uri http://hdl.handle.net/10204/11793
dc.description.abstract The Adaptive Data Rate (ADR) is used in LoRaWAN to ensure optimized data rates and transmission powers for static end devices. However, its implementation is still new, and therefore, its functionalities are limited. Multiple proposals have been made to help improve the ADR but an optimum solution is yet to be found. Therefore, this paper surveyed nine most relevant papers with the goal of identifying the ADR challenges and critically analyzing the solutions put forward to solve them. The critique of the solutions was based on the problems they solve, how they solve them, and the improvements they achieved. Findings show that the poorly designed ADR algorithm results in increased collisions and unfairness in collision probabilities amongst network traffic in LoRaWAN. Furthermore, the findings show that the studies surveyed had limitations in terms of the data rates investigated, the transmission parameters considered, and the region in which they were conducted. To help mitigate some of these challenges, few suggestions are presented in this paper. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri DOI: 10.1109/IMITEC50163.2020.9334144 en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9334144 en_US
dc.relation.uri https://ieeexplore.ieee.org/xpl/conhome/9334048/proceeding en_US
dc.source 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 25-27 November 2020 en_US
dc.subject Adaptive data rate en_US
dc.subject ADR en_US
dc.subject Collisions en_US
dc.subject Long Range Wide Area Network en_US
dc.subject LoRaWAN en_US
dc.subject Spreading factor en_US
dc.subject Transmission power en_US
dc.title A survey of LoRaWAN adaptive data rate algorithms for possible optimization en_US
dc.type Conference Presentation en_US
dc.description.pages 9pp en_US
dc.description.note Copyright: 2020 IEE. This is the preprint version of the work. en_US
dc.description.cluster Next Generation Enterprises & Institutions
dc.description.impactarea EDTRC Management en_US
dc.identifier.apacitation Lehong, C., Isong, B., Lugayizi, F., & Abu-Mahfouz, A. M. (2020). A survey of LoRaWAN adaptive data rate algorithms for possible optimization. http://hdl.handle.net/10204/11793 en_ZA
dc.identifier.chicagocitation Lehong, C, B Isong, F Lugayizi, and Adnan MI Abu-Mahfouz. "A survey of LoRaWAN adaptive data rate algorithms for possible optimization." <i>2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 25-27 November 2020</i> (2020): http://hdl.handle.net/10204/11793 en_ZA
dc.identifier.vancouvercitation Lehong C, Isong B, Lugayizi F, Abu-Mahfouz AM, A survey of LoRaWAN adaptive data rate algorithms for possible optimization; 2020. http://hdl.handle.net/10204/11793 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Lehong, C AU - Isong, B AU - Lugayizi, F AU - Abu-Mahfouz, Adnan MI AB - The Adaptive Data Rate (ADR) is used in LoRaWAN to ensure optimized data rates and transmission powers for static end devices. However, its implementation is still new, and therefore, its functionalities are limited. Multiple proposals have been made to help improve the ADR but an optimum solution is yet to be found. Therefore, this paper surveyed nine most relevant papers with the goal of identifying the ADR challenges and critically analyzing the solutions put forward to solve them. The critique of the solutions was based on the problems they solve, how they solve them, and the improvements they achieved. Findings show that the poorly designed ADR algorithm results in increased collisions and unfairness in collision probabilities amongst network traffic in LoRaWAN. Furthermore, the findings show that the studies surveyed had limitations in terms of the data rates investigated, the transmission parameters considered, and the region in which they were conducted. To help mitigate some of these challenges, few suggestions are presented in this paper. DA - 2020-11 DB - ResearchSpace DP - CSIR J1 - 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 25-27 November 2020 KW - Adaptive data rate KW - ADR KW - Collisions KW - Long Range Wide Area Network KW - LoRaWAN KW - Spreading factor KW - Transmission power LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-9520-9 SM - 978-1-7281-9521-6 T1 - A survey of LoRaWAN adaptive data rate algorithms for possible optimization TI - A survey of LoRaWAN adaptive data rate algorithms for possible optimization UR - http://hdl.handle.net/10204/11793 ER - en_ZA
dc.identifier.worklist 24124 en_US


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