Simulation of an augmented reality application for driverless cars in an edge computing environment

Edge Computing (EC) has been gaining a lot of attention in recent years due to the Internet of Things (IoT) requirements which cannot be addressed by the cloud. It aims to move the computing capabilities and resources closer to the edge of the network to fulfil IoT requirements such as location awareness, and mobility support. Furthermore, EC applications scalability is affected by computational and network system parameters. Investigating the effect of these parameters will help support the design of future applications, especially with the massive growth in the number of IoT devices. This paper aims to simulate an augmented reality application for driverless cars in order to study the effect of computational and network system parameters in an edge environment. An extensive simulation-based investigation is carried out and recommendations are made for edge applications future design.