Abstract
We propose a novel Drone-as-a-Service (DaaS) composition framework considering the recharging constraints and the stochastic arrival of drone services. We develop a service model and a quality model for drone delivery services. A skyline approach is proposed that selects the optimal set of candidate drone services to reduce the search space. We propose a heuristic-based multi-armed bandit approach to compose drone services minimizing delivery time and cost. Experimental results prove the efficiency of the proposed approach.
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CITATION STYLE
Shahzaad, B., Bouguettaya, A., Mistry, S., & Neiat, A. G. (2019). Constraint-Aware Drone-as-a-Service Composition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11895 LNCS, pp. 369–382). Springer. https://doi.org/10.1007/978-3-030-33702-5_28
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