Smart interface development for Sensor Data Analytics in Internet of Robotic things

Abstract

In recent years, the number of transducers connected to a common entity has increased significantly. In order to develop collaborative networks of robotic elements, the data from each sensor is shared through the network. As the number of sensors increases the data handled by the network also increases significantly. This causes serious network congestion issues even for a small network. In this paper, a framework for smart sensor interface is presented to optimize the data sharing and diagnostics operations. Different functions, operating conditions and architecture for cloud connectivity of sensor interface is presented. The implementation scheme and verification experiment are presented to show the application of the proposed design in multiple related sensors. The partial experiment results show that the proposed scheme can provide valuable insight to detect any deviation from normal behavior. Based on this information smart sensor and remote application can be used to take appropriate action. The partial results show that the proposed scheme can be employed for sensor data analytics in collaborative robotic networks.