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Queuing packet framework-based indexing methodology for massive MTC and V2X: M2M applicability

Proliferation of mobile terminals pushes the limits of scalability, capacity and coverage to unremittingly sustain V2X services. Massive machine type communication has the potential to ensure the autonomous sustainability of stream QoS. Catering for diversified packet-based traffic flows in a ubiquitous framework dictates the inline evaluation of the queue status, a complex and arduous task for scalable communication with energy and topology restraints, such as V2X. Expanding a novel mathematical queuing model, namely Network Queue Set Theory, an array of four customizable evaluation metrics, updated under a limited-processing algorithmic structure with zero convergence time provide an inline feedback over stream packet volume, delay, service and rejection status, omitting the inherent iterative complexity. This methodology can prove ideal in its deployment and integration in resource allocation, connection admission control and energy management of Vehicle-to-Vehicle and Vehicle-to-Infrastructure topologies. Investigating the experimental data, we measure the viability and demonstrate the applicability of the presented indexing framework, even under heavy load, by analyzing the exhibited simulation results.