Formación de grupos confiables D2D en escenarios IoT

Abstract

Abstract: The Technological advances have increased the number of devices that connect to a data network. Such is the case of vehicular networks, the same ones that are somewhat neglected by engineering, since with the tools that are currently available, very few contributions have been made. On the other hand, D2D communications are one of the key elements of the new generation networks, which are very useful for the distribution of the traffic load, for this reason, cellular networks must evolve more quickly since this would allow that a better service can be offered to users. This degree project has considered the study of a heterogeneous network, where D2D communications are integrate into a macro-femtocelular network. For which the use of a VANET (Vehicular Network) network has been propose, where the vehicles will be considerate as D2D nodes. The main objective of this heterogeneous network is the proper use of resources by proposing a clustering algorithm based on game theory. The project contemplates the creation of a simulator where various types of D2D scenarios are looking. In addition, a comparative table between scenarios with clustering and without clustering is present, determining the effectiveness of the use of group formation in telecommunications networks, providing them with greater capacity and increasing their spectral and energy efficiency.