A multi-sensory real-time data transmission method with sustainable and robust 5G energy signals for smart cities

Abstract

New generation technologies like Fifth Generation (5G) access technology have great potential to provide a sustainable Quality of Service (QoS) for Electric Vehicles (EVs) in smart cities. The environmental features of urban cities mean that signal transmission can be affected across communication networks, with packet delays, packet loss and higher error rates occurring during data exchange. There is a need for sustainable and robust low-energy signals for smart EV communication. The present paper proposes a novel method for continuous, robust video data transmission at low energy via multi-sensory-enabled 5G technology. The transceivers (transmitters and receivers) are designed with multiple low-energy sensors for detecting data availability at the receiver device. By applying a threshold level detection technique, data availability is identified dependent upon energy level and successive data exchange occurs between transceivers. The application of low-energy signal transmission reduces power usage during video data transmission and leads to a sustainable solution for intelligent EV applications. The performance of the proposed multi-sensory technique is tested and verified using various calibrated parameters considering key metrics including collision error, propagation error, sensing error and accuracy. The proposed model significantly improves accuracy, with higher sensing capabilities and lower delays and propagation errors compared to the existing buffer model.