A novel real-time video data scheduling approach for driver assistance services
Traffic shaping and data scheduling are important components of an IP-camera based in-vehicle sensor network for driver assistance services. To this end, we present an IP-camera specific traffic shaping scheme as well as a service specific data scheduling approach. In order to determine a suitable configuration of the service specific scheduling approach, relevant driver assistance services are described and analyzed. In our work we assume that the video data is carried by an in-car switched IP/Ethernet network. As an implementation study, an IP-camera sensor network has been developed in order to investigate the proposed traffic shaping as well as data scheduling mechanisms. Our experimental results show that the IEEE 1588 v2 standard is suitable for the proposed data scheduling approach and that as a result reduced network resource overprovisioning is required.