dc.contributor.author |
Kufakunesu, R
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|
dc.contributor.author |
Hancke, GP
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2020-10-27T12:33:45Z |
|
dc.date.available |
2020-10-27T12:33:45Z |
|
dc.date.issued |
2020-09 |
|
dc.identifier.citation |
Kufakunesu, R., Hancke, G.P., Abu-Mahfouz, A.M.I. 2020. A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges. Sensors, v20(18), 10pp. |
en_US |
dc.identifier.issn |
1424-8220 |
|
dc.identifier.uri |
https://www.mdpi.com/1424-8220/20/18/5044
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|
dc.identifier.uri |
https://doi.org/10.3390/s20185044
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dc.identifier.uri |
http://hdl.handle.net/10204/11641
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|
dc.description |
Copyright: © 2020 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. |
en_US |
dc.description.abstract |
Long-Range Wide Area Network (LoRaWAN) is a fast-growing communication system for Low Power Wide Area Networks (LPWAN) in the Internet of Things (IoTs) deployments. LoRaWAN is built to optimize LPWANs for battery lifetime, capacity, range, and cost. LoRaWAN employs an Adaptive Data Rate (ADR) scheme that dynamically optimizes data rate, airtime, and energy consumption. The major challenge in LoRaWAN is that the LoRa specification does not state how the network server must command end nodes pertaining rate adaptation. As a result, numerous ADR schemes have been proposed to cater for the many applications of IoT technology, the quality of service requirements, different metrics, and radio frequency (RF) conditions. This offers a challenge for the reliability and suitability of these schemes. This paper presents a comprehensive review of the research on ADR algorithms for LoRaWAN technology. First, we provide an overview of LoRaWAN network performance that has been explored and documented in the literature and then focus on recent solutions for ADR as an optimization approach to improve throughput, energy efficiency and scalability. We then distinguish the approaches used, highlight their strengths and drawbacks, and provide a comparison of these approaches. Finally, we identify some research gaps and future directions. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;23820 |
|
dc.subject |
Adaptive data rates |
en_US |
dc.subject |
Algorithms |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
Long-Range Wide Area Network |
en_US |
dc.subject |
LoRaWAN |
en_US |
dc.subject |
Low Power Wide Area Networks |
en_US |
dc.subject |
LPWAN |
en_US |
dc.subject |
IoTs |
en_US |
dc.title |
A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Kufakunesu, R., Hancke, G., & Abu-Mahfouz, A. M. (2020). A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges. http://hdl.handle.net/10204/11641 |
en_ZA |
dc.identifier.chicagocitation |
Kufakunesu, R, GP Hancke, and Adnan MI Abu-Mahfouz "A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges." (2020) http://hdl.handle.net/10204/11641 |
en_ZA |
dc.identifier.vancouvercitation |
Kufakunesu R, Hancke G, Abu-Mahfouz AM. A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges. 2020; http://hdl.handle.net/10204/11641. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Kufakunesu, R
AU - Hancke, GP
AU - Abu-Mahfouz, Adnan MI
AB - Long-Range Wide Area Network (LoRaWAN) is a fast-growing communication system for Low Power Wide Area Networks (LPWAN) in the Internet of Things (IoTs) deployments. LoRaWAN is built to optimize LPWANs for battery lifetime, capacity, range, and cost. LoRaWAN employs an Adaptive Data Rate (ADR) scheme that dynamically optimizes data rate, airtime, and energy consumption. The major challenge in LoRaWAN is that the LoRa specification does not state how the network server must command end nodes pertaining rate adaptation. As a result, numerous ADR schemes have been proposed to cater for the many applications of IoT technology, the quality of service requirements, different metrics, and radio frequency (RF) conditions. This offers a challenge for the reliability and suitability of these schemes. This paper presents a comprehensive review of the research on ADR algorithms for LoRaWAN technology. First, we provide an overview of LoRaWAN network performance that has been explored and documented in the literature and then focus on recent solutions for ADR as an optimization approach to improve throughput, energy efficiency and scalability. We then distinguish the approaches used, highlight their strengths and drawbacks, and provide a comparison of these approaches. Finally, we identify some research gaps and future directions.
DA - 2020-09
DB - ResearchSpace
DP - CSIR
KW - Adaptive data rates
KW - Algorithms
KW - Internet of Things
KW - Long-Range Wide Area Network
KW - LoRaWAN
KW - Low Power Wide Area Networks
KW - LPWAN
KW - IoTs
LK - https://researchspace.csir.co.za
PY - 2020
SM - 1424-8220
T1 - A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges
TI - A survey on Adaptive Data Rate optimization in LoRaWAN: Recent solutions and major challenges
UR - http://hdl.handle.net/10204/11641
ER -
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en_ZA |