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arXiv · 2009.09549

Resilient Composition of Drone Services for Delivery

Babar Shahzaad·Athman Bouguettaya·Sajib Mistry·Azadeh Ghari Neiat
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Abstract

We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone services at the source node in a skyway network. Drone services are initially composed using a novel constraint-aware deterministic lookahead algorithm using the multi-armed bandit tree exploration. We propose a heuristic-based resilient service composition approach that adapts to runtime changes and periodically updates the composition to meet delivery expectations. Experimental results prove the efficiency of the proposed approach.

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Babar Shahzaad, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat. 2020-09-21. Resilient Composition of Drone Services for Delivery. https://doi.org/10.1016/j.future.2020.09.023

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