| dc.description.abstract | The Internet of Things (IoT) gateway serves as a key intermediary between a considerable amount of smart things of smart sensor network (SSN) and their corresponding cloud networking servers. Typical conventional gateway systems mainly use high-level embedded microcontrollers (MCU) as core to perform bottom perception-layer device network management, upper-level cloud server functions, and remote mobile computation services. However, on the paradigm in edge computing, the design of gateway involves many considerations such as cutting down on response time of the IoT device, reducing the power consumption of IoT system, and saving bandwidth cost. In fact, regarding system scalability and computation and communication efficiency, solutions that use a single microcontroller cannot cater to the demands of IoT regarding large data collection, management, real-time communication, expandable peripheral, and various other services. Therefore, this manuscript proposed an innovative multi-MCU system framework, combining a field-programmable gate array-based (FPGA) hardware bridge and scalable multiple microcontrollers, and to realize an edge gateway of a smart sensor fieldbus network. By the performance type of distributed, collaborative computing, the multi-MCU edge gateway efficiently handles filedbus networking management, embedded data collection, and cloud communication, thereby achieving a significant improvement in the real-time, power consumption, scalability compared with the current industrial IoT solutions. | en_US |