Toward Multiple Smart Home Scenario with Fog Computing Enabled

The cloud server is responsible for collecting and processing data sent from each sensor device, then executing and sending back visually processed information. The problem arises when the location of the cloud server is far from the IoT data source, so multi-hop communication is required from the IoT data source to the Cloud Server. Fog Computing helps cloud computing process and store data so that data read from IoT devices does not need to be sent directly to cloud computing. This study proposed a multiple smart-home scenario with fog computing-enabled. Each smart-home unit consists of one camera and three sensors. Two sensors measure temperature and humidity, the other measures light intensity, and the camera for security is integrated with face and object detection. The evaluation was done by comparing the scenario’s efficiency with and without fog computing in terms of network usage and Latency. The network usage of the scenario with fog computing is still lower than the scenario without fog computing, although the number of smart-home units has increased. On the other hand, the Latency of the scenario without fog computing is lower than with fog computing when the number of smart-home no more than 12 units. However, the scenario with fog computing could maintain the Latency, although the number of smarthome units increased.