Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 70, Issue 11, Pages 12283-12286Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2021.3119189
Keywords
Servers; Task analysis; Relays; Markov processes; Streaming media; Delays; Computational modeling; Multi-access edge computing (MEC); vehicular networks; relay selection; latency minimization; Markov decision process (MDP)
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Funding
- U.S. National Science Foundation [IIS-1722791]
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In a vehicle-assisted MEC system, a relaying scheme has been designed to minimize the average task latency, effectively balancing the communication and computation requirements.
In this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion.
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