Abstract:
Software-defined vehicle networks (SDVN) have introduced new VANET paradigms. Analytical and simulation models are needed to evaluate these new proposals and architectures. We present an analytical model for ON-OFF queueing networks under exponential and general service time distributions.
The model evaluates SDVN performance by considering mobility factors like handovers, node ON/OFF, node going out of coverage, and intermittent connections. This mobility effect was modeled as a queueing station with exponentially random ON-OFF service times and Poisson random traffic arrivals.
During the OFF period, service time is exponentially distributed at lower rates. We extensively studied ON-OFF queueing behavior for finite- and infinite-capacity queues. Three hypothetical SDVN scenarios considered mobility and the large number of connected nodes. Simulated results were cross-validated. These tools will help researchers quantify SDVN architectures.
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