Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning

arXiv:2311.09852v3 Announce Type: replace-cross
Abstract: Swarms of autonomous interactive drones, with the support of recharging technology, can provide compelling sensing capabilities in Smart Cities, such as traffic monitoring and disaster response. This paper aims to deliver a novel coordination solution for the cost-effective navigation, sensing, and recharging of drones. Existing approaches, such as deep reinforcement learning (DRL), offer long-term adaptability, but lack energy efficiency, resilience, and flexibility in dynamic environments. Therefore, this paper proposes a novel approach where each drone …

abstract arxiv autonomous capabilities cities cost cs.lg cs.ma cs.ro disaster disaster response distributed drones interactive long-term monitoring navigation novel optimization paper reinforcement reinforcement learning sensing smart smart cities solution support technology traffic type