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AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity

Authors:
Fiachra Merwick
Roy Sterritt

Keywords: Autonomic Computing; UAV; swarm; self-management.

Abstract:
This paper aims to review the current state of the art of autonomic computing as it relates to the management of a fleet of drones being used for surveillance. Drones, for the purposes of this paper, refer to unmanned aerial vehicles that incorporate sensors for autonomous detection and surveillance. As economies of scale and improvements in the technology continue to materialize, fleets of drones become a viable commercial option to perform surveillance. In order to ensure self-management of these complete systems, an architecture is proposed to ensure the self-Configuring, Healing, Optimizing and Protection (self-CHOP) properties of the system are realized. The theoretical implementation of this autonomic computing solution is then discussed with respect to both its advantages and ethical implications.

Pages: 73 to 76

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISBN: 978-1-68558-089-6

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023