Improving the Convergence Period of Adaptive Data Rate in a Long Range Wide Area Network for the Internet of Things Devices

Khola Anwar, Taj Rahman, Asim Zeb, Yousaf Saeed, Muhammad Adnan Khan, Inayat Khan, Shafiq Ahmad, Abdelaty Edrees Abdelgawad and Mali Abdollahian
Additional contact information
Khola Anwar: Department of Physical & Numerical Science, Qurtuba University of Science & Information Technology, Peshawar 25000, Pakistan
Taj Rahman: Department of Physical & Numerical Science, Qurtuba University of Science & Information Technology, Peshawar 25000, Pakistan
Asim Zeb: Department of Computer Science, Abbottabad University of Science and Technology, Abbottabad 22500, Pakistan
Yousaf Saeed: Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan
Muhammad Adnan Khan: Pattern Recognition and Machine Learning Lab, Department of Software, Gachon University, Seongnam 13557, Korea
Inayat Khan: Department of Computer Science, University of Buner, Buner 19290, Pakistan
Shafiq Ahmad: Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
Abdelaty Edrees Abdelgawad: Industrial Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
Mali Abdollahian: School of Science, College of Science, Technology, Engineering, Mathematics, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia

Energies, 2021, vol. 14, issue 18, 1-14

Abstract: A Long-Range Wide Area Network (LoRaWAN) is one of the most efficient technologies and is widely adopted for the Internet of Things (IoT) applications. The IoT consists of massive End Devices (EDs) deployed over large geographical areas, forming a large environment. LoRaWAN uses an Adaptive Data Rate (ADR), targeting static EDs. However, the ADR is affected when the channel conditions between ED and Gateway (GW) are unstable due to shadowing, fading, and mobility. Such a condition causes massive packet loss, which increases the convergence time of the ADR. Therefore, we address the convergence time issue and propose a novel ADR at the network side to lower packet losses. The proposed ADR is evaluated through extensive simulation. The results show an enhanced convergence time compared to the state-of-the-art ADR method by reducing the packet losses and retransmission under dynamic mobile LoRaWAN network.

Keywords: adaptive data rate; convergence time; energy consumption; Internet of Things; interference; LoRaWAN; mobility; retransmissions; resource allocation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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