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Semantics-Empowered Communication for Networked Intelligent Systems

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Document pages: 8 pages

Abstract: Wireless connectivity has traditionally been regarded as an opaque data pipecarrying messages, whose context-dependent meaning and effectiveness have beenignored. Nevertheless, in emerging cyber-physical and autonomous networkedsystems, acquiring, processing, and sending excessive amounts of distributedreal-time data, which ends up being stale or useless to the end user, willcause communication bottlenecks, increased latency, and safety issues. Weenvision a communication paradigm shift, which makes the Semantics ofInformation, i.e., the significance and the usefulness of messages with respectto the goal of data exchange, the underpinning of the entire communicationprocess. This entails a goal-oriented unification of information generation,transmission, and usage, by taking into account process dynamics, signalsparsity, data correlation, and semantic information attributes. We apply thisstructurally new, synergetic approach to a communication scenario where thedestination is tasked with real-time source reconstruction for the purpose ofremote actuation. Capitalizing on semantics-empowered sampling andcommunication policies, we show significant reduction in both reconstructionerror and cost of actuation error, as well as in the number of uninformativesamples generated.

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