Computer ScienceIEEE Transactions on Vehicular Technology (This is assumed based on the author affiliations and the paper's style)
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing
Y. Deng, H. Zhang, et al.
Discover an innovative multi-hop task offloading framework that redefines resource efficiency in vehicle-assisted Multi-access Edge Computing (MEC). This cutting-edge research by Yiqin Deng, Haixia Zhang, Xianhao Chen, and Yuguang Fang showcases how vehicles can form a dynamic data transportation network to enhance service throughput while maintaining critical performance constraints.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Linguistics and Languages
Language as shaped by the environment: linguistic construal in a collaborative spatial task
J. Nölle, R. Fusaroli, et al.
Computer Science
Configured Quantum Reservoir Computing for Multi-Task Machine Learning
W. Xia, J. Zou, et al.
Computer Science
Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review
C. Gomez, S. M. Cho, et al.
Transportation
AV futures or futures with AVs? Bridging sociotechnical imaginaries and a multi-level perspective of autonomous vehicle visualisations in praxis
R. Martin
