dc.contributor.author |
Kufakunesu, R
|
|
dc.contributor.author |
Hancke, G
|
|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
|
|
dc.date.accessioned |
2023-02-26T08:39:33Z |
|
dc.date.available |
2023-02-26T08:39:33Z |
|
dc.date.issued |
2022-10 |
|
dc.identifier.citation |
Kufakunesu, R., Hancke, G. & Abu-Mahfouz, A.M. 2022. A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication. <i>Journal of Sensor and Actuator Networks, 11(4).</i> http://hdl.handle.net/10204/12621 |
en_ZA |
dc.identifier.issn |
2224-2708 |
|
dc.identifier.uri |
https://doi.org/10.3390/jsan11040065
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|
dc.identifier.uri |
http://hdl.handle.net/10204/12621
|
|
dc.description.abstract |
Long Range Wide Area Network (LoRaWAN) technology is rapidly expanding as a technology with long distance connectivity, low power consumption, low data rates and a large number of end devices (EDs) that connect to the Internet of Things (IoT) network. Due to the heterogeneity of several applications with varying Quality of Service (QoS) requirements, energy is expended as the EDs communicate with applications. The LoRaWAN Adaptive Data Rate (ADR) manages the resource allocation to optimize energy efficiency. The performance of the ADR algorithm gradually deteriorates in dense networks and efforts have been made in various studies to improve the algorithm’s performance. In this paper, we propose a fuzzy-logic based adaptive data rate (FL-ADR) scheme for energy efficient LoRaWAN communication. The scheme is implemented on the network server (NS), which receives sensor data from the EDs via the gateway (GW) node and computes network parameters (such as the spreading factor and transmission power) to optimize the energy consumption of the EDs in the network. The performance of the algorithm is evaluated in ns-3 using a multi-gateway LoRa network with EDs sending data packets at various intervals. Our simulation results are analyzed and compared to the traditional ADR and the ns-3 ADR. The proposed FL-ADR outperforms the traditional ADR algorithm and the ns-3 ADR minimizing the interference rate and energy consumption. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.mdpi.com/2224-2708/11/4/65 |
en_US |
dc.source |
Journal of Sensor and Actuator Networks, 11(4) |
en_US |
dc.subject |
Adaptive Data Rate |
en_US |
dc.subject |
Fuzzy logic ADR |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
IoT |
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 |
LPWANs |
en_US |
dc.title |
A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
18 |
en_US |
dc.description.note |
Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDT4IR Management |
en_US |
dc.identifier.apacitation |
Kufakunesu, R., Hancke, G., & Abu-Mahfouz, A. M. (2022). A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication. <i>Journal of Sensor and Actuator Networks, 11(4)</i>, http://hdl.handle.net/10204/12621 |
en_ZA |
dc.identifier.chicagocitation |
Kufakunesu, R, G Hancke, and Adnan MI Abu-Mahfouz "A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication." <i>Journal of Sensor and Actuator Networks, 11(4)</i> (2022) http://hdl.handle.net/10204/12621 |
en_ZA |
dc.identifier.vancouvercitation |
Kufakunesu R, Hancke G, Abu-Mahfouz AM. A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication. Journal of Sensor and Actuator Networks, 11(4). 2022; http://hdl.handle.net/10204/12621. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Kufakunesu, R
AU - Hancke, G
AU - Abu-Mahfouz, Adnan MI
AB - Long Range Wide Area Network (LoRaWAN) technology is rapidly expanding as a technology with long distance connectivity, low power consumption, low data rates and a large number of end devices (EDs) that connect to the Internet of Things (IoT) network. Due to the heterogeneity of several applications with varying Quality of Service (QoS) requirements, energy is expended as the EDs communicate with applications. The LoRaWAN Adaptive Data Rate (ADR) manages the resource allocation to optimize energy efficiency. The performance of the ADR algorithm gradually deteriorates in dense networks and efforts have been made in various studies to improve the algorithm’s performance. In this paper, we propose a fuzzy-logic based adaptive data rate (FL-ADR) scheme for energy efficient LoRaWAN communication. The scheme is implemented on the network server (NS), which receives sensor data from the EDs via the gateway (GW) node and computes network parameters (such as the spreading factor and transmission power) to optimize the energy consumption of the EDs in the network. The performance of the algorithm is evaluated in ns-3 using a multi-gateway LoRa network with EDs sending data packets at various intervals. Our simulation results are analyzed and compared to the traditional ADR and the ns-3 ADR. The proposed FL-ADR outperforms the traditional ADR algorithm and the ns-3 ADR minimizing the interference rate and energy consumption.
DA - 2022-10
DB - ResearchSpace
DP - CSIR
J1 - Journal of Sensor and Actuator Networks, 11(4)
KW - Adaptive Data Rate
KW - Fuzzy logic ADR
KW - Internet of Things
KW - IoT
KW - Long Range Wide Area Network
KW - LoRaWAN
KW - Low Power Wide Area Networks
KW - LPWANs
LK - https://researchspace.csir.co.za
PY - 2022
SM - 2224-2708
T1 - A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication
TI - A fuzzy-logic based adaptive data rate scheme for energy-efficient loRaWAN communication
UR - http://hdl.handle.net/10204/12621
ER -
|
en_ZA |
dc.identifier.worklist |
26510 |
en_US |