AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity

Fiachra Merwick; Roy Sterritt

AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	73
Number of pages	76
Publication status	Published (in print/issue) - 13 Nov 2023
Event	The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications: Technical Advances and Human Consequences - Valencia, Spain Duration: 13 Nov 2023 → 17 Nov 2023 https://www.iaria.org/conferences2023/IARIACongress23.html

Conference

Conference	The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications
Abbreviated title	IARIA Congress 2023
Country/Territory	Spain
City	Valencia
Period	13/11/23 → 17/11/23
Internet address	https://www.iaria.org/conferences2023/IARIACongress23.html

Keywords

Autonomic Computing
UAV
Swarm
Self-Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.thinkmind.org/index.php?view=article&articleid=iaria_congress_2023_1_140_50131

1 Other

Proceedings of 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications: "Technical Advances and Human Consequences"
Sehring, H.-W. (Editor), Chan, S. (Editor), Caicedo-Castro, I. (Editor), Zhukov, A. (Editor) & Sterritt, R. (Editor), Nov 2023, p. 1. 222 p.
Research output: Contribution to conference › Other › peer-review

Open Access

Cite this

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title = "AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity",

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.",

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T1 - AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity

AU - Merwick, Fiachra

AU - Sterritt, Roy

PY - 2023/11/13

Y1 - 2023/11/13

N2 - 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.

AB - 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.

KW - Autonomic Computing

KW - UAV

KW - Swarm

KW - Self-Management

M3 - Paper

SP - 73

T2 - The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

Y2 - 13 November 2023 through 17 November 2023

ER -

AC/DC: Autonomic Computing to Maintain Drone Fleet Continuity

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Research output

Proceedings of 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications: "Technical Advances and Human Consequences"

Cite this