5G Network Slice Selector in IoT Services Scenarios with QoS Requirements Guarantee

This work presents a Network Slice Selection Function (NSSF) validation for IoT scenarios in an E2E network slicing architecture, considering traffic prioritization for critical applications. For this, data analytics, machine learning and multi-criteria decision-making methods are used. Testbeds were conducted to validate the proposed approach, using open source tools, as the K-means algorithm and the COPRAS (Complex Proportional Assessment) and Promethee II (Preference Ranking Organization Method for Enrichment Evaluations) methods. The results indicate the technical feasibility of the proposed solution, the low computational cost, in addition to the guarantee and delivery efficiency of the data streams of the considered applications.