現今智慧家庭成為了廣大物聯網(IoT)領域的一部分潮流。然而根據國際數據資訊公司(IDC)指出，在2014年每戶家庭會產生2TB的數據資料，預期到2020年時每戶家庭的資料產出量為10TB。純雲端架構可能無法處理這巨量資料以及應付此資料增長速度。因此我們提供一個智慧家庭的參考架構，此架構係使用霧運算以及Zigbee網路協定。我們可以視霧運算為雲端運算的擴充，可以減輕雲端資料處理負載，改善效能，也可以提供即時運算服務。再者，雲端運算也可以為霧運算架構提供系統配置調整和分析以強化家庭自動化功能和系統智能。
我們建構的模型的訴求為有效率的處理、管理定量資料和減少反饋時間以因應家中有需即時運算處理的狀況，故以監控居家電力為例，改善以往在居家應用傳統Zigbee和雲端結合產生的問題，並檢視評估霧運算和雲運算結合的架構產生的效益。
在未來，可以以居家為單位融入霧運算的架構中，彼此節點資訊的交換共享會更即時直覺，成為更大的架構像是智慧城市。

Abstract —Nowadays, Smart Home becomes a part of trend in vast Internet of Things (IoT) field. However, according to International Data Corporation , IDC, every house generated 2TB amount of data in average by 2014 , and this number is estimated to rise to 10 TB by 2020. With huge amount of data, cloud-only architecture couldn’t keep up with the volume and velocity of this data across the network. Therefore we provide the reference architecture for smart home which is based on fog computing using Zigbee protocol. We can treat fog computing as the extension of cloud, it can ease the load of cloud, improve its performance and efficiency, also provide real-time calculating service. Furthermore, cloud can provide insight and configuration to fog computing architecture to enhance the home-automated function and optimize system intelligent. Our approach can effectively address the data amount issues and reduce the response latency to secure the safety for family member in real-time processing needed situations, and monitor the usage of electricity for each member to implement home energy management system. Each home fog network can communicate with each other and become a bigger architecture for Smart City in the future.

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