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Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach
Published in IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024
This paper proposes a Hybrid Architecture Matching Algorithm (HAMA) to address inefficiencies in task offloading for vehicular edge computing in dynamic, multi-user networks, minimizing latency while considering energy constraints in both typical and complex urban scenarios, showing a 68% latency reduction over local execution.
Recommended citation: H. Xie, H. Liu, H. Chen, S. Feng, Z. Wei and Y. Zeng, "Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3454771.
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