V2X Task Offloading Scheme Based on Mobile Edge Computing

Haibo ZHANG; Qiuji LUAN; Jiang ZHU; Xiaofan HE

doi:10.11999/JEIT180027

Volume 40 Issue 11

Oct. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(11): 2736-2743

Haibo ZHANG, Qiuji LUAN, Jiang ZHU, Xiaofan HE. V2X Task Offloading Scheme Based on Mobile Edge Computing[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2736-2743. doi: 10.11999/JEIT180027

Citation:

Haibo ZHANG, Qiuji LUAN, Jiang ZHU, Xiaofan HE. V2X Task Offloading Scheme Based on Mobile Edge Computing[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2736-2743. doi: 10.11999/JEIT180027

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V2X Task Offloading Scheme Based on Mobile Edge Computing

doi: 10.11999/JEIT180027

Haibo ZHANG^{1, 2},
Qiuji LUAN^{1, 2
,
,},
Jiang ZHU^{1, 2},
Xiaofan HE³

1.
College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3.
Department of Electronic Engineering, Lamar University, TX 77710, USA

Funds: The National Natural Science Foundation of China (61771084, 61601071), The Program for Changjiang Scholars and Innovative Research Team in University (IRT16R72)

Received Date: 2018-01-09
Rev Recd Date: 2018-05-02

Available Online: 2018-06-20

Publish Date: 2018-11-01

Abstract

Abstract

Mobile Edge Computing (MEC) draws much attention in the next generation of mobile networks with high bandwidth and low latency by enabling the IT and cloud computation capacity at the Radio Access Network (RAN). Matching problem between requesting nodes and servicing nodes is studied when a vehicle wants to offload tasks, a MEC-based offloading framework in vehicular networks is proposed, Vehicle can either offload task to MEC sever as V2I link or neighboring vehicle as V2V link. Taking into account the limited and heterogeneous resources, and the diversity of tasks, offloading framework is established as combination auction model, and a multi-round sequential combination auction mechanism is proposed, which consists of Analytic Hierarchy Process (AHP) ranking, task bidding and winners decision. Simulation results show that the proposed mechanism can maximize the efficiency of service nodes while increasing the efficiency of requesting vehicles under the constraints of the delay and the capacity.
- Vehicular networking,
- Mobile Edge Computing (MEC),
- Combination auction modle,
- Analytic Hierarchy Process (AHP)

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References(13)

References

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