Fog Computing-Enabled Internet of Things for Resource Optimization

Internet of Things (IoT) has evolved and penetrated in different sectors such as healthcare, agriculture, manufacturing, transportation, and logistics. The IoT services are deployed in the cloud for accessing it virtually independent of location. The data-intensive IoT applications when deployed in the cloud have high response time. To overcome this challenge, the fog computing techniques is proposed to access the data from the sensors in real time. In this paper, the Fog-enabled IoT architecture for precision agriculture is presented. Precision agriculture is the usage of information technology to increase yield of crops and improve health of plants by ensuring accurate and controlled supply of nutrients. The sensors are deployed in the fields, and data is sent to the edge devices used for improving the produce. The different services available are automated irrigation and fertigation, recommendation by experts, decision support system, and protection from rodents. The farmers can subscribe to the service and make the best use. The advantage of Fog-enabled IoT is the reduction in round-trip time (RTT) compared to Cloud IoT architecture. The result demonstrates 40% reduction in RTT when Fog-enabled IoT architecture is used for different services.