Socially Inspired Data Dissemination for Vehicular Ad Hoc Networks

Felipe Domingos da Cunha (1, 2) , Guilherme Maia (2) , Aline Carneiro Viana (1) , Raquel A. F. Mini (3) , Leandro Villas (4) , Antonio A. F. Loureiro (2)

1 INFINE - INFormation NEtworks
2 DCC - UFMG - Departamento de Ciência da Computação [Minas Gerais]
3 Department of Computer Science
4 IC - Institute of Computing [Campinas]

People have routines and their mobility patterns vary during the day, which have a direct impact on vehicular mobility. Therefore, proto-cols and applications designed for Vehicular Ad Hoc Networks need to adapt to these routines in order to provide better services. With this issue in mind, in this work, we propose a data dissemination solution for these networks that considers the daily road traffic vari-ation of large cities and the relationship among vehicles. The focus of our approach is to select the best vehicles to rebroadcast data messages according to social metrics, in particular, the clustering coefficient and the node degree. Moreover, our solution is designed in such a way that it is completely independent of the perceived road traffic density. Simulation results show that, when compared to related protocols, our proposal provides better delivery guarantees, reduces the network overhead and possesses an acceptable delay.

Mots clés: VANETs; Broadcast Suppression; Intermittently Connected; Social Metrics

Domaines: Informatique mobile

Felipe Domingos da Cunha, Guilherme Maia, Aline Carneiro Viana, Raquel A. F. Mini, Leandro Villas, et al.. Socially Inspired Data Dissemination for Vehicular Ad Hoc Networks. MSWiM '14 Proceedings of the 17th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems, Sep 2014, Montreal, Canada. ⟨10.1145/2641798.2641834⟩. ⟨hal-01082984v2⟩