| Texto completo | |
| Autor(es): |
da Silva, Rodrigo A. C.
;
da Fonseca, Nelson L. S.
;
IEEE
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022); v. N/A, p. 6-pg., 2022-01-01. |
| Resumo | |
Fog nodes usually belong to fixed infrastructures that, once deployed, cannot be easily moved. Despite the easy management of these infrastructures, they are limited in dealing with variations in the demand of mobile users. To cope with that, fog nodes can be mounted on unmanned aerial vehicles (UAVs), which can be quickly deployed, staying close to those users requiring low latency services. The location and period of operation of UAVs must be determined to maximize the number of requests processed and reduce the latency in accessing the infrastructure. This paper proposes a solution to the fog node location problem with rotary-wing UAVs that considers variable demands. We have modeled the problem with an integer linear programming formulation and have proposed the Sequential UAV Fog Node Location algorithm to deal with large scenarios. The results derived using real traces show that low delay applications can be supported. It is, however, essential to plan the deployment of UAVs so that the operational time of battery-constrained UAVs can be extended. (AU) | |
| Processo FAPESP: | 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais |
| Beneficiário: | Nelson Luis Saldanha da Fonseca |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |