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| Title | Drone-Station Matching In Smart Cities Through Hungarian Algorithm: Power Minimization And Management |
|---|---|
| ID_Doc | 21089 |
| Authors | Mirzaeinia A.; Bradley S.; Hassanalian M. |
| Year | 2019 |
| Published | AIAA Propulsion and Energy Forum and Exposition, 2019 |
| DOI | http://dx.doi.org/10.2514/6.2019-4151 |
| Abstract | Development of new concepts for smart cities and applications of drones in this area impose different architecture of the drones’ stations and their placement. Drones’ stations are designed to localize and maintain the drones from any types of hazards and utilize charging mechanisms such as solar cells to recharge the drones. Increasing the number of drones in smart cities makes it harder to find the optimum station for each drone after performing its mission. In classic ordered technique, each drone returns to its preassigned station which is shown to be not very efficient. Kuhn-Munkres (Hungarian) algorithm is used to match the drone to the best nesting station. Three different scenarios are investigated in this study; (1) drones with the same level of energy, (2) drones with different level of energy, and (3) drones and stations with different level of energy. The results show that an energy consumption of 30 to 90% can be achieved by applying the Hungarian algorithm in drone-nest matching compared to preassigned stations. A graphical user interface is also designed in this paper to demonstrate the drone-station matching through the Hungarian algorithm. © 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. |
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