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Advanced Deep Learning-based Computational Offloading for Multilevel Vehicular Edge-Cloud Computing Networks
2020
IEEE Access
The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC). This paper presents an advanced deep learning-based computational offloading algorithm for multilevel vehicular edge-cloud computing networks. To conserve energy and guarantee the efficient utilization of shared resources among multiple vehicles, an integration model of computational offloading, and resource
doi:10.1109/access.2020.3011705
fatcat:7b3req4nujdnnmswv4cwdxrklq