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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Veröffentlicht in:	IEEE eTransactions on network and service management Jg. 19; H. 3; S. 3264 - 3275
Hauptverfasser:	Chen, Yang, Pi, Dechang, Yang, Shengxiang, Xu, Yue, Chen, Junfu, Mohamed, Ali Wagdy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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