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• W2983605324 abstract "In this work, we study the energy efficiency problem in a vehicular edge computing network with delay sensitive tasks. We aim at minimizing the total energy consumption under the given delay constraints by jointly optimizing the offloading decisions and the computational resources. The resulting mixed integer non-convex problem is intractable to solve. To address the problem, it is reformulated into an equivalent tractable form and via relaxation it is transformed into a convex problem. Via simulations, the performance and the offloading behaviour of the proposed design are evaluated under various scenarios with different setups of vehicular density and delay limits." @default.
• W2983605324 created "2019-11-22" @default.
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• W2983605324 date "2019-04-01" @default.
• W2983605324 modified "2023-09-25" @default.
• W2983605324 title "Energy Minimization of Delay-Constrained Offloading in Vehicular Edge Computing Networks" @default.
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• W2983605324 doi "https://doi.org/10.1109/wcncw.2019.8902537" @default.
• W2983605324 hasPublicationYear "2019" @default.
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