What is the role of edge computing and AI in the platform developed by Ren et al. for industrial IoT environments?

Ren et al. developed a scalable sensor monitoring platform for industrial IoT environments that integrates edge computing and AI. Edge computing handles the massive heterogeneous sensor data close to the source for fast preprocessing, while AI provides intelligent interpretation and decision support.

The evidence states that industrial IoT sensors deployed in edge environments generate massive amounts of heterogeneous data that require fast preprocessing and intelligent interpretation. To address this, Ren et al. developed a platform that integrates edge computing and AI, enabling scalable monitoring and decision support in industrial environments. Edge computing allows data to be processed near the sensors at the network edge, which is critical for reducing latency and handling the volume of data generated. AI contributes by interpreting the processed data intelligently, supporting real-time monitoring and decision-making. A related row in the overview table also classifies the contribution of Ren et al. as developing a scalable sensor monitoring platform using edge computing and AI within the domain of Edge Computing and Smart Sensors.