JOURNAL ARTICLE

A Task Partitioning and Offloading Scheme in Vehicular Edge Computing Networks

Wen QiXu XiaHeng WangYanxia Xing

Year: 2021 Journal:   2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) Pages: 1-5

Abstract

We design a task partitioning and offloading scheme in vehicular edge computing (VEC) networks. The scheme consists of vehicles, servers and a roadside unit (RSU). Vehicles and RSU cooperate to complete the task partitioning and offloading. The proposed scheme use contract theory to incentivize vehicles to report real information and promote cooperation. Besides, we design the channel model in high-speed mobile environment to capture the dynamic characteristic of channel. Finally, through theoretical derivation and simulation experiments, the scheme we proposed can meet the different delay requirements of vehicles, and guarantee the cooperation between the vehicle and RSU.

Keywords:
Scheme (mathematics) Computer science Server Mobile edge computing Task (project management) Enhanced Data Rates for GSM Evolution Edge computing Channel (broadcasting) Computer network Vehicular ad hoc network Distributed computing Wireless Wireless ad hoc network Engineering Operating system Telecommunications

Metrics

6
Cited By
1.25
FWCI (Field Weighted Citation Impact)
13
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Vehicular Ad Hoc Networks (VANETs)
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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