Drone-as-a-Service: Research Challenges and Directions

We conduct a survey on drones used as a service, denoted as drone-as-a-service (DaaS). We develop a novel taxonomy based on DaaS functions, research tasks, and application domains. We provide a discussion on drones and their associated capabilities based on their type of use. We propose a three-layered DaaS system architecture that vertically integrates <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">cloud</i> computing, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">drones</i>, and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">services</i> as a reference framework to compare existing drone service implementations. Additionally, we propose a representative uncertainty-aware DaaS model for delivery scenarios, illustrating how service definitions can incorporate both functional and nonfunctional attributes under dynamic environmental conditions. Finally, we identify and discuss future research directions and open problems related to the use of drones for service delivery.

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Publication Details

Journal
Proceedings of the IEEE
Published
2025-05-01
DOI
https://doi.org/10.1109/jproc.2025.3599126
Citations
4
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
19.97

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article

Drone-as-a-Service: Research Challenges and Directions

Balsam Alkouz, Babar Shahzaad, Du Yong Kim, Ali Hamdi et al.
4 citations
Proceedings of the IEEE
UAV Applications and Optimization
19.97
article

Drone-as-a-Service: Research Challenges and Directions

Balsam Alkouz, Babar Shahzaad, Du Yong Kim, Ali Hamdi, Azadeh Ghari Neiat, Athman Bouguettaya, Flora Dilys Salim
article en
4 citations

Abstract

We conduct a survey on drones used as a service, denoted as drone-as-a-service (DaaS). We develop a novel taxonomy based on DaaS functions, research tasks, and application domains. We provide a discussion on drones and their associated capabilities based on their type of use. We propose a three-layered DaaS system architecture that vertically integrates <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">cloud</i> computing, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">drones</i>, and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">services</i> as a reference framework to compare existing drone service implementations. Additionally, we propose a representative uncertainty-aware DaaS model for delivery scenarios, illustrating how service definitions can incorporate both functional and nonfunctional attributes under dynamic environmental conditions. Finally, we identify and discuss future research directions and open problems related to the use of drones for service delivery.

Proceedings of the IEEEVol. 113(5)
The University of Sydney (AU), Queensland University of Technology (AU), The University of Queensland (AU), UNSW Sydney (AU), October 6 University (EG), RMIT University (AU)
Australian Research Council
Openalex Percentile: Top 1%
UAV Applications and Optimization
19.97
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Drone-as-a-Service: Research Challenges and Directions — Balsam Alkouz, Babar Shahzaad, et al. · Proceedings of the IEEE (2025) | TGRS Research Map | TGRS