High Sensitive IoT Nanotechnology Sensors for Improved Data Acquisition and Processing

Abstract

Internet of Nano-Things is regarded as an extensive model for future applications that deploys an improved technical knowledge on data acquisition and classification. In this paper, we utilize the availability of gold nanoclusters in Internet of Things (IoT) sensors over a monolayer of grapheme film that tends to change with respect to the sensing properties. These IoT devices are utilized for transmit the sensing parameters to the local hub that deposits or offloads the data to cloud. The input data is then processed and classified to test the efficacy rate of the IoT sensors. The simulation is conducted on a real-time IoT nanotechnology sensor device to test the accuracy of data acquisition. The results show that the proposed model with nanotechnology IoT sensor is effective in capturing the data at a higher response and accurate rate than other methods.