  New advanced applications, such as autonomous driving and haptic
communication, require to transmit multi-sensory data and require low latency
and high reliability. These applications include. Existing implementations for
such services have mostly relied on ad hoc scheduling and send rate adaptation
mechanisms, implemented directly by the application and running over UDP. In
this work, we propose a transmission scheme that relies on the features of the
recently developed QUIC transport protocol, providing reliability where needed,
and standardized congestion control, without compromising latency. Furthermore,
we propose a scheduler for sensor data transmissions on the transport layer
that can exploit the correlations over time and across sensors. This mechanism
allows applications to maximize the Value of Information (VoI) of the
transmitted data, as we demonstrate through simulations in two realistic
application scenarios.
