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AuthorZheng, Jianchao
AuthorAnpalagan, Alagan
AuthorGuizani, Mohsen
AuthorWu, Yuan
AuthorZhang, Ning
AuthorChen, Xianfu
AuthorYu, F. Richard
Available date2022-10-29T20:37:47Z
Publication Date2021-10-01
Publication NameIEEE Wireless Communications
Identifierhttp://dx.doi.org/10.1109/MWC.2021.9615123
CitationZheng, J., Anpalagan, A., Guizani, M., Wu, Y., Zhang, N., Chen, X., & Yu, F. R. (2021). Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing. IEEE Wireless Communications, 28(5), 10-12.‏
ISSN15361284
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119968815&origin=inward
URIhttp://hdl.handle.net/10576/35575
AbstractThe employment of multi-access edge computing (MEC) promotes the emergence of novel computation-intensive and time-sensitive applications at the network edge. Resource-limited devices can offload their computing tasks to edge servers, thereby avoiding heavy computing loads and reducing energy consumption. However, the computing servers are usually embedded in the fixed access points (APs) or base stations (BSs) in traditional MEC, which make it difficult to meet the unexpected explosively increasing computing demands and server users in certain emergency scenarios. Due to mobility, flexibility, and maneuverability, aerial computing has drawn extensive attention, where unmanned aerial vehicles (UAVs) equipped with computing servers provide agile computing services to mobile devices. Despite the potential of the aerial computing, however, many challenges also need to be addressed in this new paradigm. Until now, limited research progress has been made toward aerial computing.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectMulti-Access Edge computing
TitleGuest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing
TypeArticle
Pagination10-12
Issue Number5
Volume Number28
dc.accessType Open Access


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