Semantics-Empowered Communication for Networked Intelligent Systems

Wireless connectivity has traditionally been regarded as an opaque data pipe carrying messages, whose context-dependent meaning and effectiveness have ignored. Nevertheless, in emerging cyber-physical autonomous networked systems, acquiring, processing, 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, safety issues. We envision a paradigm shift, makes semantics information (i.e., significance usefulness messages) foundation process. This entails goal-orient-ed unification generation, transmission, reconstruction, by taking into account process dynamics, signal sparsity, correlation, semantic attributes. apply this structurally new, synergetic approach scenario where destination is tasked with source reconstruction for purpose remote actuation. Capitalizing on semantics-empowered sampling policies, we show significant reduction both error cost actuation error, well number uninformative samples generated.