朱银阳,
丁仪,
朱洪波
1.教育部泛在网络健康服务系统工程研究中心 ??南京 ??210003
2.江苏省无线通信重点实验室 南京 210003
3.南京邮电大学通信与信息工程学院 ??南京 ??210003
基金项目:国家自然科学基金(61771252)，江苏省自然科学基金面上项目(BK20171444)，江苏省高校重点自然科学研究重大项目(18KJA510005)，江苏省“六大人才高峰”B类资助项目(DZXX-041)，江苏省科协青年科技人才托举工程资助培养项目，江苏省研究生科研创新计划项目(KYCX19_0949)
详细信息
作者简介:赵海涛：男，1983年生，博士，副教授，研究方向为物联网与移动边缘计算
朱银阳：男，1993年生，硕士，研究方向为移动边缘计算与资源优化
丁仪：女，1995年生，硕士，研究方向为物联网路由优化和边缘计算
朱洪波：男，1956年生，博士，教授，研究方向为移动通信与宽带无线技术、无线通信与电磁兼容
通讯作者:赵海涛 zhaoht@njupt.edu.cn
中图分类号:TP399计量
文章访问数:3234
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被引次数:0
出版历程
收稿日期:2019-08-06
修回日期:2019-11-14
网络出版日期:2019-11-28
刊出日期:2020-01-21
Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles
Haitao ZHAO,,Yinyang ZHU,
Yi DING,
Hongbo ZHU
1. Ministry of Education Ubiquitous Network Health Service System Engineering Research Center, Nanjing 210003, China
2. Jiangsu Key Wireless Communication Laboratory, Nanjing 210003, China
3. College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Funds:The National Natural Science Foundation of China (61771252), The Natural Science Foundation Project of Jiangsu Province (BK20171444), The University Natural Science Research Major Project of Jiangsu Province (18KJA510005), The "Six Talents High Peaks" Class B Funding Project of Jiangsu Province (DZXX-041), The Jiangsu Provincial Association for Science and Technology Talents Entrustment Project, Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_0949)
摘要
摘要:随着智能交通的快速发展，车辆终端产生大量需要实时处理的数据消息，而在有限资源上的竞争将会增加消息处理的时延，且对终端设备造成很大的能量消耗。针对时延和能量损耗的均衡关系，该文提出一种基于移动边缘计算(MEC)的内容感知分类卸载算法。首先根据层次分析法对安全消息进行优先级划分，然后建立时延和能量损耗的最优任务卸载模型，通过给时延和能量损耗赋予不同的权重系数构造关系模型，并利用拉格朗日松弛法将非凸问题转化为凸问题，从而结合次梯度投影法和贪婪算法得到问题的可行解。性能评估结果表明，该算法在一定程度上改善了消息处理时延和能量损耗。
关键词:移动边缘计算/
计算卸载/
消息优先级/
时延
Abstract:With the rapid development of intelligent transportation, vehicle terminals generate a large number of data messages that need to be processed in real time. Competition on limited resources will increase the delay of message processing and energy consumption for terminal equipment. For the equilibrium relationship between delay and energy loss, this paper proposes a content-aware classification offloading algorithm based on Mobile Edge Computing (MEC). Firstly, the security message is prioritized according to the analytic hierarchy process, and then the optimal task unloading model of delay and energy loss is established. The relational model is established by assigning different weight coefficients to delay and energy loss. The Lagrangian relaxation method is used to transform the non-convex problem into a convex problem, which combines the sub-gradient projection method and the greedy algorithm to obtain the feasible solution. The performance evaluation results show that the algorithm improves the message processing delay and energy loss to some extent.
Key words:Mobile Edge Computing (MEC)/
Computational offloading/
Message priority/
Delay
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