Abstract :
Cyber physical systems (CPS) are distributed complex systems that integrate computing, networking, and physical processes to facilitate ubiquitous, intelligent machine-to-machine (M2M) interactions among internet of things (IoT). To realize many grand visions of CPS applications, transformative signal and information processing paradigms are needed. In this workshop, potential applications of Compressive Sensing (CS) to CPS system information processing will be focused. CS represents an energy efficient way of interacting (sampling) the physical world by integrating data compression and sampling into a single process, and thereby significantly reduces computation overhead and energy waste. Despite this great promise, many key questions and challenges remain to seamlessly integrate the CS technology and the CPS system development. For instance, using CS may generate burst rather than periodic traffic.So the current duty-cycle based wireless sensor network protocols need to be reinvestigated to provide not only low power consumption but also high data transmission performance (QoS).
Keywords :
compressed sensing; data communication; protocols; quality of service; wireless sensor networks; 1st International Workshop; CPS applications; CPS system development; CS technology; CSCPS; China; Hangzhou; Internet of Things; IoT; M2M interactions; QoS; compressive sensing; current duty-cycle based wireless sensor network protocols; cyber-physical systems; data compression; data transmission performance; distributed complex systems; energy waste; information processing paradigms; intelligent machine-to-machine; physical processes; power consumption; transformative signal;