Prioritized Multistream Traffic in Uplink IoT Networks: Spatially Interacting Vacation Queues

Massive Internet of Things (IoT) is foreseen to introduce a plethora applications for fully connected world. Heterogeneous traffic envisaged, where packets generated at each device should be differentiated and served according their priority. This article develops novel priority-aware spatiotemporal mathematical model characterize massive IoT networks with uplink prioritized multistream (PMT). Stochastic geometry utilized account the macroscopic network-wide mutual interference between coexisting devices. Discrete-time Markov chains (DTMCs) are employed track microscopic evolution within priority queue. To provide systematic tractable model, we decompose queueing single-queue system server vacation. this end, PMT network modeled as spatially interacting vacation queues. Dedicated shared channel access strategies presented. A priority-agnostic scheme used benchmark highlight impact transmission on performance different priorities in terms probabilities delays. Additional metrics average number packets, peak age information, delay distribution, Pareto frontiers parameters presented, which give insights stable operation PMT.