Artificial Neural Network and IoT Based Scheme in Internet of Robotic Things

Abstract

Internet of Robotic Things (IoRT) is trending concept which is already in existence. By providing an active sensorization IoRT is considered as the new evolution of IoT. In this paper, we are focusing particularly on two issues: (i) connectivity maintenance among multiple IoRT robots, and (ii) collective coverage of IoRT robots. We are proposing IoRT scheme and artificial neural network control scheme to efficiently maintain the global connectivity among multiple mobile robots to attain a desired level of quality-of-service (QoS). The biconnectivity of the multiple robots can be achieved by the virtual force algorithm. The back propagation approach will find a trade-off between collective coverage and communication quality of multiple IoRT’s. The IoT-based approach is completely based on the computation of the algebraic connectivity and the use of extended virtual force algorithm. The neural network controller, in turn is completely distributed and perfectly reflects the IoT-based approach.