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With growing attention from both academia and industry, Industrial Internet of Things (IIoT), comprised of a multitude of connected devices, is supposed to monitor, collect, exchange, analyze, and instantly act on information to intelligently change the industrial device&#x2019;s behavior or the industrial environment (e.g., autonomous reaction to unexpected changes in production by effectively detecting failures and triggering maintenance processes). Toward this goal, the convergence of sensor networks, cloud computing, and big data in IIoT is recently identified as an essential component. Specifically, to capture various data in IIoT, sensor networks are deployed. Meanwhile, to store and process data powerfully in IIoT, cloud computing platforms are developed. Moreover, to glean valuable findings from the massive data in IIoT, big data analytics tools are utilized. However, to integrate sensor networks, cloud computing, and big data in IIoT in a robust way, there are a lot of tough issues to be solved with respect to various aspects (e.g., framework, greenness, security, quality of service, etc.).

IEEE Access Special Section Editorial: Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things