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An Optimal Scheme to Recharge Communication Drones
| dc.contributor.author | Arribas, Edgar | |
| dc.contributor.author | Cholvi, Vicent | |
| dc.contributor.author | Mancuso, Vincenzo | |
| dc.date.accessioned | 2021-09-16T10:11:19Z | |
| dc.date.available | 2021-09-16T10:11:19Z | |
| dc.date.issued | 2021-12 | |
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| dc.identifier.uri | http://hdl.handle.net/20.500.12761/1508 | |
| dc.description.abstract | The adoption and integration of drones in commu- nication networks is becoming reality thanks to the deployment of advanced solutions for IoT and cellular communication relay schemes. However, using drones introduces new energy con- straints and scheduling issues in the dynamic management of the network topology, due to the need to call back and recharge, or substitute, drones that run out of energy. In this paper, we describe the design of a drone recharging scheme for realisti- cally limited flight time of drones, and leverage the presence of recharging stations. Indeed, drones need to be recharged periodically, and maximizing the operational time of drones is paramount to minimize the size of the fleet of drones to be devoted to a drone mission, hence its cost. We design Homogeneous RotatingRecharge(HRR), an optimal drone recharging scheduling that extends the coverage of a cellular network. HRR minimizes the number of back-up drones needed to guarantee a fixed number of operational drones, so as to support the operation of an underlying cellular network. Results show that operating a network of drones with our scheme provides reliable and stable performance over time. | es |
| dc.description.sponsorship | Comunidad de Madrid | es |
| dc.language.iso | eng | es |
| dc.title | An Optimal Scheme to Recharge Communication Drones | es |
| dc.type | conference object | es |
| dc.conference.date | 7-11 December 2021 | es |
| dc.conference.place | Madrid, Spain | es |
| dc.conference.title | IEEE Global Telecommunications Conference | * |
| dc.event.type | conference | es |
| dc.pres.type | paper | es |
| dc.type.hasVersion | AM | es |
| dc.rights.accessRights | open access | es |
| dc.relation.projectID | S2018/TCS-4496 | es |
| dc.relation.projectName | TAPIR-CM | es |
| dc.description.refereed | TRUE | es |
| dc.description.status | inpress | es |
