  We propose a novel robust composition framework for drone delivery services
considering changes in the wind patterns in urban areas. The proposed framework
incorporates the dynamic arrival of drone services at the recharging stations.
We propose a Probabilistic Forward Search (PFS) algorithm to select and compose
the best drone delivery services under uncertainty. A set of experiments with a
real drone dataset is conducted to illustrate the effectiveness and efficiency
of the proposed approach.
