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Smart city article details
| Title | Uav Automated Charging Station And Charging Network In Smart Cities For Telemedicine Delivery |
|---|---|
| ID_Doc | 59255 |
| Authors | Danciu M.C.; Yingta N.; Ur Rehman I.; Aleshaiker S. |
| Year | 2023 |
| Published | Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 |
| DOI | http://dx.doi.org/10.1109/ISC257844.2023.10293330 |
| Abstract | This paper presents a novel solution to improve Unmanned Aerial Vehicles (UAVs) flight time within the context of telemedicine delivery in smart cities. Our primary research questions addressed are (1) 'How can UAV flight time limitations be extended to facilitate deliveries in smart cities?' and (2) 'How can the proposed solution revolutionise the future of telemedicine?'. To address the first question, a wireless charging station is presented, capable of automatically detecting and charging UAVs when they land in its designated charging area. This charging station effectively eliminates the issue of coil misalignment, which has been identified in previous research publications. To efficiently manage the charging stations and UAVs, a charging network is proposed, responsible for routing UAVs to the nearest charging station, scheduling charging times, and maintaining charging statistics for analytical purposes. The latter question is addressed through an exploration of existing telemedicine delivery systems, accompanied by a discussion on how the proposed solution can significantly contribute to the advancement of telemedicine. It is essential to emphasise that this innovative solution enhances UAV technology for telemedicine delivery and holds broader applicability within smart cities. © 2023 IEEE. |
| Author Keywords | Charging Network; Smart City Technology; Telemedicine; Unmanned Aerial Vehicles (UAVs); Wireless Charging Station |
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