Provider-centric Allocation of Drone Swarm Services

Alkouz, Balsam; Bouguettaya, Athman

doi:10.1109/icws53863.2021.00041

Cited by 16 publications

(8 citation statements)

References 22 publications

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“…The study of swarm-based applications has been widely explored in the literature. Drone swarms are being used in target search, airborne communication, skyshows, etc [4]. Majority of the work that discuss drone swarms in delivery refer to them as multiple independent coordinated single drones used to deliver packages to multiple destinations [12].…”

Section: Related Workmentioning

confidence: 99%

“…platinum, gold, and silver. Each tier would have a fixed cost for charging per kWh 4 . The priority is defined by how much the swarm would wait before accessing a charging pad in case of congestion.…”

Section: Multi-provider Swarm-based Drone-as-a-service Modelmentioning

confidence: 99%

“…A consumer ordering multiple packages that exceed the capability of a single drone would necessitate the use of a drone swarm. Large drones, on the other hand, are prohibited in cities 2 , mandating the adoption of multiple smaller drones cooperating together to deliver packages [4]. Therefore, a swarm of drones is needed to deliver packages to the same destination at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Formation-based Selection of Drone Swarm Services

Alkouz

Bouguettaya

2020

MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Swarm of drones are increasingly being asked to carry out missions that can't be completed by one drone. Particularly, in delivery, issues arise due to the swarm's limited flight endurance. Hence, we propose a novel formation-guided framework for selecting Swarmbased Drone-as-a-Service (SDaaS) for delivery. A detailed study is carried out to highlight the effect of swarm formations on energy consumption. Two SDaaS selection approaches, i.e. Fixed and Adaptive, are designed considering the different formation decisions a swarm can take. The proposed framework considers extrinsic constraints including wind speed and direction. We propose SDaaS selection algorithms for each approach. Experimental results prove the efficiency of the proposed algorithms. CCS CONCEPTS• Computer systems organization → Robotic autonomy; • Applied computing → Service-oriented architectures.

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Section: Related Workmentioning

confidence: 99%

Section: Multi-provider Swarm-based Drone-as-a-service Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Formation-based Selection of Drone Swarm Services

Alkouz

Bouguettaya

2020

MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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“…Without loss of generality, we use the delivery time as the main QoS. The composition of drone services is the process of selecting and aggregating drone services leading to the destination [14]. A drone service composition consists of (1).…”

Section: Introductionmentioning

confidence: 99%

Service-Oriented Architecture for Drone-based Multi-Package Delivery

Shahzaad¹,

Bouguettaya²

2022

Preprint

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We propose a novel service-oriented architecture for drone-based multi-package delivery. The proposed architecture provides a high-level design for deploying a skyway network in a city for the effective provisioning of drone-based service delivery. A graph-based heuristic is proposed to reduce the search space for optimal service selection in the skyway network. We then find an optimal solution using the selected drone services under a range of constraints. Experimental results demonstrate the efficiency and effectiveness of our proposed graph-based heuristic approach in terms of execution time and delivery time.

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“…More formally, a swarm is defined as a set of drones that move together within close proximity and arriving at any stop within a time window, thus acting as a single entity to achieve a certain goal. Swarms of drones have been used in various applications including military [8], airborne communication networks [9], sky shows [10], and delivery [11].…”

Section: Introductionmentioning

confidence: 99%

In-Flight Energy-Driven Composition of Drone Swarm Services

Alkouz¹,

Abusafia²,

Lakhdari³

et al. 2022

Preprint

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We propose a novel framework for swarm-based drone delivery services with in-flight energy recharging. The framework aims to enhance the delivery time of multiple packages by reducing the number of stops and recharging times at intermediate stations.The proposed framework considers various intrinsic and extrinsic delivery constraints. We propose to use support drones whose sole purpose is to recharge other drones in the swarm during their flight. In this respect, we compute the optimal set of optimal support drones to minimize the probability of delivery services and recharging time at the next stations. We also use two settings to position the support drones in a flight formation for comparative purposes. Two novel energy sharing methods are proposed, namely, Priority-based and Fairness-based methods. A re-ordering method of the delivery drones is presented to facilitate the in-flight energy composition process. An enhanced A* algorithm is implemented to compose the optimal services in terms of delivery time. Experimental results prove the efficiency of our proposed approach.

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Provider-centric Allocation of Drone Swarm Services

Cited by 16 publications

References 22 publications

Formation-based Selection of Drone Swarm Services

Formation-based Selection of Drone Swarm Services

Service-Oriented Architecture for Drone-based Multi-Package Delivery

In-Flight Energy-Driven Composition of Drone Swarm Services

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