HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing

Mobile edge computing (MEC) is an emerging computing paradigm that decreases the computing time and extends the lifespan of user equipments (UEs). In MEC, the computational tasks are offloaded from UEs to the base station (BS) at the edge of the network for processing. However, MEC cannot cope with...

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Vydáno v:	IEEE eTransactions on network and service management Ročník 19; číslo 3; s. 3264 - 3275
Hlavní autoři:	Chen, Yang, Pi, Dechang, Yang, Shengxiang, Xu, Yue, Chen, Junfu, Mohamed, Ali Wagdy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Autonomous aerial vehicles Computational modeling computational task offloading Computing time Continuity (mathematics) convergence analysis Design optimization discrete optimization Edge computing Energy consumption Global optimization Mobile computing Mobile edge computing Mutation nature-inspired algorithms Optimization Optimization algorithms Radio equipment Servers Sociology Statistics Task analysis UAV
ISSN:	1932-4537, 1932-4537
On-line přístup:	Získat plný text
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