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Resource Allocation for Cellular-based Inter-Vehicle Communications in Autonomous Multiplatoons.

, , , , , , and . IEEE Trans. Veh. Technol., 66 (12): 11249-11263 (2017)

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Energy-efficient and scalable clustering scheme for wireless sensor networks., , , and . WCSP, page 1-6. IEEE, (2015)Performance Analysis of IEEE 802.11p DCF for Multiplatooning Communications With Autonomous Vehicles., , , , , , and . IEEE Trans. Veh. Technol., 66 (3): 2485-2498 (2017)SDN-Based Resource Management for Autonomous Vehicular Networks: A Multi-Access Edge Computing Approach., , and . IEEE Wirel. Commun., 26 (4): 156-162 (2019)SDN-Based Resource Management for Autonomous Vehicular Networks: A Multi-Access Edge Computing Approach., , and . CoRR, (2018)Research on Reliability-Oriented Data Fusaggregation Algorithm in Large-Scale Probabilistic Wireless Sensor Networks., , , , and . Int. J. Distributed Sens. Networks, (2014)Energy-Efficient and Fault-Tolerant Evolution Models for Large-Scale Wireless Sensor Networks: A Complex Networks-Based Approach., , , , , , and . GLOBECOM, page 1-6. IEEE, (2015)Toward Energy-Efficient and Robust Large-Scale WSNs: A Scale-Free Network Approach., , , , , and . IEEE J. Sel. Areas Commun., 34 (12): 4035-4047 (2016)Performance Analysis of IEEE 802.11p DCF for Inter-Platoon Communications with Autonomous Vehicles., , , , , , and . GLOBECOM, page 1-6. IEEE, (2015)Spectrum Management for Multi-Access Edge Computing in Autonomous Vehicular Networks., , and . IEEE Trans. Intell. Transp. Syst., 21 (7): 3001-3012 (2020)Deep Reinforcement Learning Based Resource Management for Multi-Access Edge Computing in Vehicular Networks., and . IEEE Trans. Netw. Sci. Eng., 7 (4): 2416-2428 (2020)