Prioritized Multi-stream Traffic in Uplink IoT Networks: Spatially Interacting Vacation Queues
Mustafa Emara, Hesham ElSawy, and Gerhard Bauch

TL;DR
This paper introduces a novel mathematical model for uplink IoT networks with prioritized multi-stream traffic, accounting for interference and queue interactions, and compares dedicated versus shared channel access strategies.
Contribution
It develops a spatially interacting vacation queue model for prioritized IoT traffic, integrating stochastic geometry and Markov chains to analyze network performance.
Findings
Shared access improves transmission success probability.
Shared access reduces queue overflow probability.
Shared access lowers latency for IoT traffic.
Abstract
Massive Internet of Things (IoT) is foreseen to introduce plethora of applications for a fully connected world. Heterogeneous traffic is envisaged, where packets generated at each IoT device should be differentiated and served according to their priority. This paper develops a novel priority-aware spatiotemporal mathematical model to characterize massive IoT networks with uplink prioritized multistream traffic (PMT). Particularly, stochastic geometry is utilized to account for the macroscopic network wide mutual interference between the coexisting IoT devices. Discrete time Markov chains (DTMCs) are employed to track the microscopic evolution of packets within each priority stream at each device. To alleviate the curse of dimensionality, we decompose the prioritized queueing model at each device to a single-queue system with server vacation. To this end, the IoT network with PMT is…
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