Section: New Results

Vehicular networks

Participants : Nathalie Mitton, Valeria Loscri.

Positioning

Typical Global Navigation Satellite System (GNSS) receivers offer precision in the order of meters. This error margin is excessive for vehicular safety applications, such as forward collision warning, autonomous intersection management, or hard braking sensing. In [14] we develop CooPS, a GNSS positioning system that uses Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications to cooperatively determine absolute and relative position of the ego-vehicle with enough precision. To that end, we use differential GNSS through position vector differencing to acquire track and across-track axes projections, employing elliptical and spherical geometries. We evaluate CooPS performance by carrying out real experiments using off-the-shelf IEEE 802.11p equipment at the campus of the Federal University of Rio de Janeiro. We obtain an accuracy level under 1.0 and 1.5 m for track (where-in-lane) and across-track (which-lane) axes, respectively. These accuracy levels were achieved using a 2.5 m accuracy circular error probable (CEP) of 50% and a 5 Hz navigation update rate GNSS receiver.

Vehicular social networks

In recent years, the concept of social networking combined with the Internet of Vehicles has brought to the definition of the Social IoV (SIoV) paradigm, i.e., a social network where every vehicle is capable of establishing social relationships in an autonomous way with other vehicles or road infrastructure equipment. In SIoV, social networking is applied to vehicular networks according to how social ties are built upon, i.e., either among vehicles or humans. An analysis of the SIoT-based social relations in a vehicular network scenario for establishing a Social Internet of Vehicles and providing insights on this growing research area [33]. By considering the specific features of the Online Social Networks (ONSs) and Vehicular Social Networks (VSNs), we realize that there are limitations and advantages on both these systems. In [15] we have proposed SOVER, a hybrid OSN-VSN framework, allowing the communication between both the communities, the OSNs and VSNs. In [24] we investigate the twofold nature of SIoV, both based on human factors and relationships and as an instance of the Social Internet of Things (SIoT. Based on this twofold nature, it is possible to distinguish different applications and use-cases.)