Performance Evaluation of LoRaWAN for Green Internet of Things

Zulfiqar Ali, Shagufta Henna, Adnan Akhunzada, Mohsin Raza, Sung Won Kim

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
76 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)164102-164112
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 25 Sep 2019

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