  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.
