物聯網閘道器扮演著大量智慧感測器網路與連網雲端伺服器的關鍵中介角色，典型的閘道器使用高階的嵌入式處理器來實現底層裝置網路的管理和上層雲端伺服器功能和遠端行動計算服務。在邊緣運算的應用範例，閘道器的設計需要考量縮短物聯網裝置響應時間，減少物聯網系統耗電量與節省通訊頻寬。使用單一微控制器的解決方案在系統擴充性及計算和通訊效率上難以應付物聯網的大量資料收集、資料管理和即時通訊以及可擴充周邊服務需求。本研究提出一個創新的多微控制器系統架構，結合一個基於現場可程式化閘陣列的硬體橋接器，以及可擴充的多重微控制器，並實現一個智慧現場總線網路的邊緣閘道器。藉由分散式，協同運算特性，此邊緣閘道器可以有效地管理現場總線網路，嵌入式資料收集與雲端通訊。本研究提出的多微控制器閘道器與現有的工業物聯網解決方案比較，在即時性、耗電性與可擴展性有明顯改善。

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.

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