Main Article Content
Recently, there is a demand for systems based on Radio Frequency Identification (RFID) in several applications and are applied successfully in various areas. This paper proposes the novel integration of sensor nodes in IOT model with RFID authentication protocol (RAP) based smart monitoring system. Here the data has been collected from the wearable devices of a patient and transmitted through sensor node with security. The data has been segmented and their text and image features have been segmented. Then by using classification process by fast deep convolutional neural network (FDCNN), the normal and abnormal data has been classified. Based on the classified results, the accuracy, precision, recall, F-1 score has been calculated by the proposed simulation results. This proposed technique has been proved to be enhanced result through comparative analysis with existing technique.