Abstract
In recent years drones have been used in many applications such as surveillance, geographic mapping, search and rescue, and weather forecast. Motivated by the increased use of drones in shipping and delivery, in this paper we tackle the problem of parcel delivery by taking into consideration important aspects such as serving on-demand requests, flight duration limitation due to energy constraints, maintaining the safety distance to avoid collisions, and using warehouses as starting and ending points in parcel delivery. In this paper we define the UAS Energy-constrained Delivery Scheduling problem and propose a scheduling mechanism using a multi-source A* algorithm variant. Simulation results show that our algorithm is efficient and scalable with the number of requests and network size.
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Notes
- 1.
The action of delivering goods requested by clients within a limited time is called delivery task.
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Papa, R., Cardei, I., Cardei, M. (2020). Energy-Constrained Drone Delivery Scheduling. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_9
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DOI: https://doi.org/10.1007/978-3-030-64843-5_9
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