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Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server.

, , , , and . CCNC, page 1-2. IEEE, (2020)

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Scalable and Cost Efficient Resource Allocation Algorithms Using Deep Reinforcement Learning., , , , and . IWCMC, page 946-951. IEEE, (2020)Edge and fog computing for IoT: A survey on current research activities & future directions., , , , , and . Comput. Commun., (2021)A Cross-Layer Predictive and Preemptive Routing Protocol for Underwater Wireless Sensor Networks Using the Lagrange Interpolation., , and . Int. J. Wirel. Networks Broadband Technol., 10 (2): 78-99 (2021)A energy-conserving predictive preemptive multipath routing protocol for adhoc networks: a lifetime improvement., and . Int. J. Commun. Networks Inf. Secur., (2016)Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server., , , , and . CCNC, page 1-2. IEEE, (2020)Link Quality and MAC-Overhead aware Predictive Preemptive Routing Protocol for Mobile Ad hoc Network., and . CoRR, (2013)SO-VMEC: Service offloading in virtual mobile edge computing using deep reinforcement learning., , , , , and . Trans. Emerg. Telecommun. Technol., (2022)Energy Management For Electric Vehicles in Smart Cities: A Deep Learning Approach., , , , , and . IWCMC, page 2080-2085. IEEE, (2019)Link Quality and MAC-Overhead aware Predictive Preemptive Multipath Routing Protocol for Mobile Ad hoc Networks., , and . Int. J. Commun. Networks Inf. Secur., (2013)A Cross-layer Method for Identifying and Isolating the Blackhole Nodes in Vehicular Ad-hoc Networks., , and . Inf. Secur. J. A Glob. Perspect., 32 (3): 212-226 (May 2023)