Swarm-based Drone-as-a-Service (SDaaS) for Delivery

Alkouz, Balsam; Bouguettaya, Athman; Mistry, Sajib

doi:10.1109/icws49710.2020.00065

Cited by 35 publications

(38 citation statements)

References 18 publications

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“…However, we refer to a swarm as a set of drones carrying multiple packages for a single delivery operation. In this regard, a sequential and parallel delivery services composition using a swarm of drones was proposed [1]. While drone swarms in delivery represent a major advancement, developing swarm allocation methods is essential to unlock their full potential and obtain teamwork benefit [10].…”

Section: Related Workmentioning

confidence: 99%

“…Swarm-based Drone-as-a-Service (SDaaS) is a concept that describes services offered by swarms of drones [1]. The SDaaS notion is an augmentation on the Drone-as-a-Service (DaaS) concept that describes services offered by single drones [2].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, robust and effective deliveries of multiple/heavier packages are needed. Such deliveries are only possible using a swarm of drones as flight regulations only allow the use of small drones (payload<2.5 kg) to deliver in the city 1 . In addition, swarms of drones in delivery are capable of covering longer trips by distributing the payload over several drones decreasing the rate of battery consumption [1].…”

Section: Introductionmentioning

confidence: 99%

“…Such deliveries are only possible using a swarm of drones as flight regulations only allow the use of small drones (payload<2.5 kg) to deliver in the city 1 . In addition, swarms of drones in delivery are capable of covering longer trips by distributing the payload over several drones decreasing the rate of battery consumption [1]. Swarm-based drone deliveries operating in a city are assumed to be flying within line of sight segments in a skyway network [6].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Reinforcement Learning Approach for Re-allocating Drone Swarm Services

Alkouz¹,

Bouguettaya²

2021

Preprint

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We propose a novel framework for the re-allocation of drone swarms for delivery services known as Swarm-based Drone-as-a-Service (SDaaS). The re-allocation framework ensures maximum profit to drone swarm providers while meeting the time requirement of service consumers. The constraints in the delivery environment (e.g., limited recharging pads) are taken into consideration. We utilize reinforcement learning (RL) to select the best allocation and scheduling of drone swarms given a set of requests from multiple consumers. We conduct a set of experiments to evaluate and compare the efficiency of the proposed approach considering the provider's profit and run-time efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reinforcement Learning Approach for Re-allocating Drone Swarm Services

Alkouz¹,

Bouguettaya²

2021

Preprint

Self Cite

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“…The existing drone service composition approaches do not consider the uncertainty in congestion behaviour at recharging stations [15,16]. We propose a top-k drone service composition framework that can effectively deal with the uncertain nature of the environment.…”

Section: Introductionmentioning

confidence: 99%

Top-k Dynamic Service Composition in Skyway Networks

Shahzaad¹,

Bouguettaya²

2021

Preprint

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We propose a novel top-k service composition framework for drone services under a dynamic environment. We develop a system model for formal modelling of drone services in a skyway network. The composition process is accomplished in two phases, i.e., computing top-k compositions and extending and ranking top-k compositions using probabilistic wait and recharge times under congestion conditions. We propose a topk composition algorithm to compute the best service composition plan meeting user's requirements. A set of experiments with a real dataset is conducted to demonstrate the effectiveness of the proposed approach.

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Top-k Dynamic Service Composition in Skyway Networks

Shahzaad

Bouguettaya

2021

Service-Oriented Computing

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Swarm-based Drone-as-a-Service (SDaaS) for Delivery

Cited by 35 publications

References 18 publications

A Reinforcement Learning Approach for Re-allocating Drone Swarm Services

A Reinforcement Learning Approach for Re-allocating Drone Swarm Services

Top-k Dynamic Service Composition in Skyway Networks

Top-k Dynamic Service Composition in Skyway Networks

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