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.
@article{arxiv.2009.09549,
title = {Resilient Composition of Drone Services for Delivery},
author = {Babar Shahzaad and Athman Bouguettaya and Sajib Mistry and Azadeh Ghari Neiat},
journal= {arXiv preprint arXiv:2009.09549},
year = {2020}
}
Comments
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