Smart City Gnosys
Smart city article details
| Title | Smart Cities And Organizing The Drones’ Applications In Urban Areas: N.E.St (Networking, Efficient, Strategies) |
|---|---|
| ID_Doc | 49373 |
| Authors | Hassanalian M.; Mirzaeinia A.; Lee K. |
| Year | 2020 |
| Published | AIAA Scitech 2020 Forum, 1 PartF |
| DOI | http://dx.doi.org/10.2514/6.2020-1944 |
| Abstract | New concepts can be developed for smart cities and drones can be integrated into the smart cities to carry out different types of missions. This area imposes different architecture of the drones’ stations (nests) and their placement. Drones’ stations are designed to localize and maintain the drones from any types of hazards and employ charging mechanisms 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. Greedy and Kuhn-Munkres (Hungarian) algorithms are used to match the drone to the best nesting station. In this work it is assumed that all the drones and stations have different levels of energy. The results indicate that the energy consumption reduction of 25 to 80% can be achieved by applying the Kuhn-Munkres and greedy algorithms in drone-nest matching compared to preassigned stations. A graphical user interface is also designed to demonstrate the drone-station matching through the Kuhn-Munkres and greedy algorithms. © 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. |
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