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Volume 42 Issue 3
Mar.  2020
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Haibo ZHANG, Kunlun JING, Kaijian LIU, Xiaofan HE. An Offloading Mechanism Based on Software Defined Network and Mobile Edge Computing in Vehicular Networks[J]. Journal of Electronics & Information Technology, 2020, 42(3): 645-652. doi: 10.11999/JEIT190304
Citation: Haibo ZHANG, Kunlun JING, Kaijian LIU, Xiaofan HE. An Offloading Mechanism Based on Software Defined Network and Mobile Edge Computing in Vehicular Networks[J]. Journal of Electronics & Information Technology, 2020, 42(3): 645-652. doi: 10.11999/JEIT190304

An Offloading Mechanism Based on Software Defined Network and Mobile Edge Computing in Vehicular Networks

doi: 10.11999/JEIT190304
Funds:  The National Natural Science Foundation of China (61801065, 61601071), The Program for Changjiang Scholars and Innovative Research Team in University (IRT16R72), The General Project on Foundation and Cutting-edge Research Plan of Chongqing (cstc2018jcyjAX0463)
  • Received Date: 2019-04-30
  • Rev Recd Date: 2019-09-05
  • Available Online: 2019-09-18
  • Publish Date: 2020-03-19
  • In the emerging vehicular networks, the task of the car terminal requesting offloading has more stringent requirements for network bandwidth and offload delay, and the proposed Mobile Edge Computing (MEC) in the new communication network research solves better this challenge. This paper focuses on matching the offloaded objects when the car terminal performs the task offloading. By introducing the Software-Defined in-Vehicle Network (SDN-V) to schedule uniformly global variables, which realizes resource control management, device information collection and task information analysis. Based on the differentiated nature of user tasks, a model of importance is defined. On this basis, task priority is divided by designing the task to offload the priority mechanism. For the multi-objective optimization model, the non-convex optimization model is solved by the multiplier method. The simulation results show that compared with other offloading strategies, the proposed offloading mechanism has obvious effects on delay and energy consumption optimization, which can guarantee the benefit of users to the greatest extent.

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