An Efficient Collaborative Task Offloading Approach Based on Multi-Objective Algorithm in MEC-Assisted Vehicular Networks

Mobile edge computing assisting vehicular networks to achieve collaborative computing is a significant research area, as it can effectively expand the on-board computational resources, thereby improving the responsiveness of vehicular applications and reducing energy consumption. However, the existi...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 74; H. 7; S. 11249 - 11263
Hauptverfasser:	Chen, Shuaijie, Li, Wenfeng, Sun, Jingtao, Pace, Pasquale, He, Lijun, Fortino, Giancarlo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Associative memory Bayesian maximum entropy Collaboration Computation offloading Computational modeling Costs Delay time Delays Edge computing Energy consumption Genetic algorithms Genetics Mobile computing Mobile edge computing multi-objective optimization Multiple objective analysis Optimization Performance evaluation Process control Queueing Reliability Servers task criticality task offloading task urgency Vehicles
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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