Optimizing Drone Delivery in Smart Cities

Shahzaad, Babar, Alkouz, Balsam, Janszen, Jermaine, Bouguettaya, Athman

arXiv.org Artificial Intelligence 

Abstract--We propose a novel context-aware drone delivery framework for optimizing package delivery through skyway networks in smart cities. In this respect, we propose a novel line-of-sight heuristic-based context-aware composition algorithm that selects and composes near-optimal drone delivery services. We conducted an extensive experiment using a real dataset to show the robustness of our proposed approach. A skyway network is defined is a popular type of UAV that offers potential as a set of skyway segments that directly connect benefits in smart city applications [2]. Drones two nodes representing take-off and landing are increasingly becoming pervasive in their use, stations [8]. Take-off and landing stations (aka including surveillance, agriculture, and delivery network nodes) are typically from and to building of goods [3].

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