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].
arXiv.org Artificial Intelligence
Apr-28-2023
- Country:
- Asia > Middle East
- UAE > Sharjah Emirate > Sharjah (0.04)
- Europe (0.04)
- North America > United States
- Colorado (0.04)
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Queensland (0.04)
- Asia > Middle East
- Genre:
- Research Report (0.40)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence > Robots > Autonomous Vehicles > Drones (1.00)