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pro vyhledávání: '"Nway Nway Ei"'
Publikováno v:
2023 International Conference on Information Networking (ICOIN).
Publikováno v:
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS).
Publikováno v:
ICOIN
In this paper, we study an energy-efficient multi- UAV-assisted multi-access edge computing (MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer computing services to the mobile devices. In particular, the mobile devi
Publikováno v:
APNOMS
Task offloading scheme provides opportunistic energy saving for computation-intensive on-vehicle applications. The evolution of the Vehicular Edge Computing (VEC) paradigm has contributed a vast potential that can enhance the performance of such vehi
Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) has become one promising solution for energy-constrained devices to meet the computation demand and the stringent delay requirement. In this work, we investigate a multiple UAVs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99c538e1b4a7ac47d53e1cbfca89ace2
Publikováno v:
Alsenwi, M, Tun, Y K, Raj Pandey, S & Seon Hong, C 2020, UAV-Assisted Multi-Access Edge Computing System : An Energy-Efficient Resource Management Framework . in 34th International Conference on Information Networking, ICOIN 2020 ., 9016631, IEEE Computer Society Press, International Conference on Information Networking, vol. 2020-January, pp. 214-219, 34th International Conference on Information Networking, ICOIN 2020, Barcelona, Spain, 07/01/2020 . https://doi.org/10.1109/ICOIN48656.2020.9016631
ICOIN
ICOIN
Unmanned Aerial Vehicles (UAVs) have been deployed to enhance the network capacity and provide services to mobile users with and without infrastructure coverage. At the same time, due to the exponential growth of the internet of things devices (IoTDs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bd3e695ef01119d8ce93961d2132aa5
https://vbn.aau.dk/da/publications/b718d130-6682-4553-8646-8ae3d4314cf5
https://vbn.aau.dk/da/publications/b718d130-6682-4553-8646-8ae3d4314cf5
Publikováno v:
BigComp
Resource allocation has been a critical issue in Mobile Edge Computing (MEC) since MEC servers colocated at Base Stations (BS) are limited in resources and users are competitive in nature. Users' devices have restraint on power and computation capabi
Publikováno v:
ICOIN
In this paper, the total transmit power of Unmanned Aerial Vehicles (UAVs) which are deployed as aerial base stations is minimized by adjusting the altitudes of different UAVs. We assume that the UAVs adopt the frequency division multiple access (FDM