Performance evaluation of LoRaWAN for Green Internet of Things
Article
Ali, Z., Henna, S., Akhunzada, A., Raza, M. and Kim, S. 2019. Performance evaluation of LoRaWAN for Green Internet of Things. IEEE Access. 7. https://doi.org/10.1109/ACCESS.2019.2943720
Type | Article |
---|---|
Title | Performance evaluation of LoRaWAN for Green Internet of Things |
Authors | Ali, Z., Henna, S., Akhunzada, A., Raza, M. and Kim, S. |
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. |
Keywords | Performance evaluation, Internet of Things, Wireless communication, Zigbee, Throughput, Industries, Wide area networks |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Journal | IEEE Access |
ISSN | 2169-3536 |
Publication dates | |
Online | 25 Sep 2019 |
21 Nov 2019 | |
Publication process dates | |
Deposited | 13 Jan 2023 |
Submitted | 28 Aug 2019 |
Accepted | 15 Sep 2019 |
Output status | Published |
Publisher's version | License |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2019.2943720 |
Language | English |
File | License |
https://repository.mdx.ac.uk/item/8q32w
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