Planning the future of smart cities with swarms of fully autonomous unmanned aerial vehicles using a novel framework

Abstract

The autonomy of unmanned aerial vehicles (UAVs) - self-governing in the aerospace discipline has been a remarkable research area with the development of the advanced bespoke microcontrollers embedded with advanced AI techniques for the last several decades. The road forward about the operational environment is certain about the swarms of fully automated UAVs (FAUAVs), that is, urban areas. Therefore, the planning the future of cities with swarms of fully autonomous unmanned aerial vehicles is explored in this paper to optimise the use of this type of autonomy with a diverse range of applications and a contemporary methodology is proposed using a synergistic holistic framework equipped with various effective and efficient techniques along with a novel FAUAV routing approach customisable to the constraints of FAUAVs and urban areas. The framework consists of a decentralized agent-based control architecture that monitors and controls the swarms of resource-constraint FAUAVs for their real-time requirements in optimising their urban uses. The results demonstrate that the constraints of FAUAVs can be mitigated significantly in urban areas and their use in realising their diverse range of missions can be optimised using the proposed methodology.