| Summary: | 碩士 === 國立臺灣科技大學 === 電子工程系 === 105 === 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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