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Fog Computing Vehicular Network Resource Management Based on Chemical Reaction Optimization.

, , , , and . IEEE Trans. Veh. Technol., 70 (2): 1770-1781 (2021)

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Software-Defined and Fog-Computing-Based Next Generation Vehicular Networks., , , , and . IEEE Communications Magazine, 56 (9): 34-41 (2018)Efficient Beamforming Training for 60-GHz Millimeter-Wave Communications: A Novel Numerical Optimization Framework., , , and . IEEE Trans. Vehicular Technology, 63 (2): 703-717 (2014)Resource Allocation in Software Defined Fog Vehicular Networks., , , , and . DIVANet@MSWiM, page 71-76. ACM, (2017)Vehicular Network Based Reliable Traffic Density Estimation., , , , and . VTC Spring, page 1-5. IEEE, (2016)NDN Producer Mobility Management Based on Echo State Network: A Lightweight Machine Learning Approach., , , and . ICPADS, page 275-282. IEEE, (2018)Energy efficient resource allocation for the software-defined VLC and RF small cells., , , , and . ICCC, page 1-6. IEEE, (2017)Second-Price Auction Based Cognitive Traffic Offloading in Heterogeneous Networks., , , , and . IWCMC, page 942-947. IEEE, (2019)Energy-saving resource allocation scheme with QoS provisioning in OFDMA femtocell networks., , , , , and . ICC Workshops, page 912-917. IEEE, (2014)Computation-Efficient Offloading and Trajectory Scheduling for Multi-UAV Assisted Mobile Edge Computing., , , , , , and . IEEE Trans. Vehicular Technology, 69 (2): 2114-2125 (2020)Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks., , , , and . IEEE J. Sel. Areas Commun., 35 (11): 2457-2467 (2017)