Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks

Vehicular networks blueprint the bright future of transportation systems in safety, efficiency and sustainability. Highly dynamic traffic information is one of the most important features in vehicular networks, which makes... [ view full abstract ]

Vehicular networks blueprint the bright future of
transportation systems in safety, efficiency and sustainability.
Highly dynamic traffic information is one of the most important
features in vehicular networks, which makes data services very
challenging, as the data quality drops over time dramatically and
timely data update is expected to maintain the service quality. In
this paper, we consider the system architecture, in which vehicles
coming from different directions are able to sense and carry upto-
date location-based information along their trajectories and
upload fresh information to the roadside unit (RSU) when passing
through. Meanwhile, vehicles may request information from the
RSU for other routes. To enable efficient data services in such a
scenario, firstly, we characterize the freshness of temporal data.
Then, based on the general form of data quality function, we
propose a heuristic algorithm called priority-based scheduling
(PBS), which synthesizes the data quality, the broadcast effect
and the real-time service requirement in making scheduling
decisions. A comprehensive performance evaluation demonstrates
the superiorty of PBS under a variety of scenarios.