Resilient Composition of Drone Services for Delivery
arXiv:2009.09549 · doi:10.1016/j.future.2020.09.023
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.
48 pages, 16 figures. This is an accepted paper and it is going to appear in Future Generation Computer Systems journal Elsevier. Content may change prior to final publication