AI-Driven Drone Swarms Restore Connectivity by Beaming Emergency Power
Abstract
Power failures and losses of the telecommunication network in disaster-prone areas negatively impact the response time for emergency operations, the provision of medical attention, and the coordination of the improvement unit. The conventional approaches to restoring connectivity, such as ground repair teams and the implementation of backup generators, are slow, resource-intensive, and hindered by access issues in numerous distant locations or places characterised by danger. The above constraints create a strong demand for a rapid adaptation and a swift, technology-oriented solution to bridge the significant gap between infrastructural downtime and complete revival. In resolving this challenge, this paper proposes a novel framework that utilises an AI swarm of uncrewed aerial vehicles (UAVs) equipped with wireless power beaming technology, enabling the restoration of evanescent energy and real-time connectivity. It incorporates a swarm coordination algorithm, which utilises common forms of reinforcement, allowing drones to autonomously manage flight paths, allocate available power during dynamic changes in priority locations such as communication towers and hospitals, and adapt to changing demands and environmental factors. Wireless power beaming modules ensure that necessary facilities become operable again without the need for direct physical repair. At the same time, swarm intelligence ensures system redundancy and resilience, even in the event of drone failure. Simulation investigations in disaster conditions demonstrate that the proposed solution can decrease recovery time by over 60 per cent compared to traditional solutions, significantly increase power provision efficiency over the medium term, and offer a scalable solution with coverage across multiple facilities simultaneously. The framework ensures that lifelines essential to critical operations are not shut down at the time when they are needed most, just after a disaster, by concentrating on selective recovery to bring essential life support systems back online, in addition to the recovery of the entire grid. The findings indicate that AI-controlled swarms of drones are not only a cost-efficient and scalable solution but also an innovative approach to emergencies, as autonomous aerial systems become the bridge between the destruction of facilities and human survival.