UAV-Assisted IoT Monitoring Network: Adaptive Multiuser Access for Low-Latency and High-Reliability Under Bursty Traffic

In this work, we propose an adaptive system design for an Internet of Things (IoT) monitoring network with latency and reliability requirements, where IoT devices generate time-critical and event-triggered bursty traffic, and an unmanned aerial vehicle (UAV) aggregates and relays sensed data to the base station. Existing transmission schemes based on the overall average traffic rates over-utilize network resources when traffic is smooth, and suffer from packet collisions when traffic is bursty which occurs in an event of interest. We address such problems by designing an adaptive transmission scheme employing multiuser shared access (MUSA) based grant-free non-orthogonal multiple access and use short packet communication for low latency of the IoT-to-UAV communication. Specifically, to accommodate bursty traffic, we design an analytical framework and formulate an optimization problem to maximize the performance by determining the optimal number of transmission time slots, subject to the stringent reliability and latency constraints. We compare the performance of the proposed scheme with a non-adaptive power-diversity based scheme with a fixed number of time slots. Our results show that the proposed scheme has superior reliability and stability in comparison to the state-of-the-art scheme at moderate to high average traffic rates, while satisfying the stringent latency requirements.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2024-12-12
DOI
https://doi.org/10.1109/tcomm.2024.3516503
Citations
6
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
7.79
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article

UAV-Assisted IoT Monitoring Network: Adaptive Multiuser Access for Low-Latency and High-Reliability Under Bursty Traffic

Sheeraz A. Alvi, Salman Durrani, Nilupuli Senadhira, Xiangyun Zhou et al.
6 citations
IEEE Transactions on Communications
UAV Applications and Optimization
7.79
article

UAV-Assisted IoT Monitoring Network: Adaptive Multiuser Access for Low-Latency and High-Reliability Under Bursty Traffic

Sheeraz A. Alvi, Salman Durrani, Nilupuli Senadhira, Xiangyun Zhou, Nan Yang
article en
6 citations

Abstract

In this work, we propose an adaptive system design for an Internet of Things (IoT) monitoring network with latency and reliability requirements, where IoT devices generate time-critical and event-triggered bursty traffic, and an unmanned aerial vehicle (UAV) aggregates and relays sensed data to the base station. Existing transmission schemes based on the overall average traffic rates over-utilize network resources when traffic is smooth, and suffer from packet collisions when traffic is bursty which occurs in an event of interest. We address such problems by designing an adaptive transmission scheme employing multiuser shared access (MUSA) based grant-free non-orthogonal multiple access and use short packet communication for low latency of the IoT-to-UAV communication. Specifically, to accommodate bursty traffic, we design an analytical framework and formulate an optimization problem to maximize the performance by determining the optimal number of transmission time slots, subject to the stringent reliability and latency constraints. We compare the performance of the proposed scheme with a non-adaptive power-diversity based scheme with a fixed number of time slots. Our results show that the proposed scheme has superior reliability and stability in comparison to the state-of-the-art scheme at moderate to high average traffic rates, while satisfying the stringent latency requirements.

IEEE Transactions on CommunicationsVol. 73(7)
Australian National University (AU)
Openalex Percentile: Top 3%
UAV Applications and Optimization
7.79
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