JOURNAL ARTICLE

Energy Minimization of Delay-Constrained Offloading in Vehicular Edge Computing Networks

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.

Keywords:
Computer science Energy minimization Minification Edge computing Enhanced Data Rates for GSM Evolution Computer network Energy (signal processing) Mobile edge computing Vehicular ad hoc network Energy consumption Distributed computing Server Wireless ad hoc network Telecommunications Wireless Electrical engineering Engineering

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Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Age of Information Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
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