Performance Evaluation of LoRaWAN for Green Internet of Things

Ali, Zulfiqar, Henna, Shagufta, Akhunzada, Adnan, Raza, Mohsin and Kim, Sung Won (2019) Performance Evaluation of LoRaWAN for Green Internet of Things. IEEE Access, 7. pp. 164102-164112. ISSN 2169-3536

Full text not available from this repository. (Request a copy)

Abstract

LoRa is a long-range, low power and single-hop wireless technology that has been envisioned for Internet of Things (IoT) applications having battery driven nodes. Nevertheless, increase in number of end devices and varying throughput requirements impair the performance of pure Aloha in LoRaWAN. Considering these limitations, we evaluate the performance of slotted Aloha in LoRaWAN using extensive simulations. We employed packet error rate (PER), throughput, delay, and energy consumption of devices under different payload sizes and varying number of end devices as benchmarks. Moreover, an analytical analysis of backlogged and non-backlogged under slotted Aloha LoRaWAN environment is also performed. The simulation shows promising results in terms of PER and throughput compared to the pure Aloha. However, increase in delay has been observed during experimental evaluation.Finally, we endorse slotted aloha LoRaWAN for Green IoT Environment.

Item Type:	Article
Additional Information:	Publisher Copyright: © 2013 IEEE.
Uncontrolled Keywords:	adr,der,fec,iot,lora,lorawan,lpwan,sf,computer science(all),materials science(all),engineering(all),sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/1700
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	16 Jun 2025 10:30
Last Modified:	23 Jun 2025 00:29
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99511
DOI:	10.1109/ACCESS.2019.2943720

Actions (login required)

View Item