Adaptive Traffic Engineering Based on Active Network Measurement Towards Software Defined Internet of Vehicles

被引:11
|
作者
Lin, Chuan [1 ]
Han, Guangjie [2 ,3 ]
Du, Jiaxin [4 ]
Xu, Tiantian [4 ]
Peng, Yan [5 ]
机构
[1] Northeastern Univ, Software Coll, Shenyang 110819, Peoples R China
[2] Fujian Univ Technol, Fujian Key Lab Automot Elect & Elect Drive, Fuzhou 350118, Peoples R China
[3] Hohai Univ, Dept Informat & Commun Syst, Changzhou 210098, Peoples R China
[4] Dalian Univ Technol, Sch Software, Dalian 116024, Peoples R China
[5] Shanghai Univ, Res Inst USV Engn, Shanghai 200444, Peoples R China
关键词
Network architecture; Reliability; Computer architecture; Routing; Monitoring; Adaptive systems; Internet of Vehicles; software-defined networking (SDN); traffic engineering (TE); active network measurement; artificial bee colony (ABC) algorithm; ECONOMIC-DISPATCH; GENETIC ALGORITHM; SDN; QOS;
D O I
10.1109/TITS.2020.3028990
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
With the rapid development of urbanization, enormous amounts of vehicular services have been emerging and challenge both the architectures and protocols of the Internet of Vehicles. The high-speed mobility features of nodes in the vehicular networks changes the network topology frequently, resulting in low routing efficiency, and higher packet loss. In this article, we utilize software-defined networking (SDN) technology to decouple the network control plane from the data forwarding plane, and divide the vehicular networks into three functional layers: data, control, application layers. Based on the proposed network architecture, we propose an adaptive traffic engineering (TE) mechanism to guarantee the V2V continuous traffic in vehicular networks with high-speed mobile vehicles or dynamic network topology. In particular, the proposed TE is based on a proposed active network measurement mechanism under the assistance of the centralized management ability of the SDN technique. The proposed active network measurement approach is a greedy approach where the next hop determination for the measurement packet takes multiple link reliability factors (e.g., the delay, the length, the packet error rate, the neighbors, etc.) into account. Then, we utilize the artificial bee colony (ABC) algorithm to optimize the TE mechanism that can be deployed and executed in the SDN controller. By the proposed TE mechanism, multiple candidate end-to-end paths can be concurrently measured, and the optimal data forwarding path can be adaptively switched. Simulation results demonstrate that our approach performs better than some recent research outcomes, especially in the aspect of performing reliable data forwarding (almost 5% better than the compared objects).
引用
收藏
页码:3697 / 3706
页数:10
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