Wireless connectivity has traditionally been regarded as an opaque data pipe
carrying messages, whose context-dependent meaning and effectiveness have been
ignored. Nevertheless, in emerging cyber-physical and autonomous networked
systems, acquiring, processing, and sending excessive amounts of distributed
real-time data, which ends up being stale or useless to the end user, will
cause communication bottlenecks, increased latency, and safety issues. We
envision a communication paradigm shift, which makes the Semantics of
Information, i.e., the significance and the usefulness of messages with respect
to the goal of data exchange, the underpinning of the entire communication
process. This entails a goal-oriented unification of information generation,
transmission, and usage, by taking into account process dynamics, signal
sparsity, data correlation, and semantic information attributes. We apply this
structurally new, synergetic approach to a communication scenario where the
destination is tasked with real-time source reconstruction for the purpose of
remote actuation. Capitalizing on semantics-empowered sampling and
communication policies, we show significant reduction in both reconstruction
error and cost of actuation error, as well as in the number of uninformative
samples generated.

本文探讨了在新兴的网络化系统中，为了实现远程驱动，如何通过语义学方法实现目的导向的信息交换，证明了基于语义学方法采样和传输策略能够显著降低误差率和执行成本。