Stochastic modelling and analysis of mobility models for intelligent software defined internet of vehicles

Ravi Banoth; Thangaraj Jaisingh; Shandilya Shishir Kumar

首页> 外文期刊>Physical communication >Stochastic modelling and analysis of mobility models for intelligent software defined internet of vehicles

【24h】

Stochastic modelling and analysis of mobility models for intelligent software defined internet of vehicles

机译：Stochastic modelling and analysis of mobility models for intelligent software defined internet of vehicles

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Data traffic forwarding and network optimization is essential to effective congestion management in software-defined vehicular networks, and it is necessary for software-defined vehicle networks (SDVN). SDVN is needed to optimize connection performance and network controls in dense and sparse networks to govern data flow between nodes as effectively as possible. Intelligent software-defined internet of vehicles (iSDIoVs) has recently emerged as a potential technology for future vehicular networks. It manages the vehicular ad hoc networks systematically. The link connection of moving vehicles from the central SDN controller may fail. It impacts the efficiency and communication performance because of the lack of connection between vehicles and infrastructure (V2I). The researchers have analyzed the network performance and mobility models in a dense and sparse network to maximize network performance by iSDIoVs. By integrating heterogeneous systems such as IEEE 802.11p and cellular networks into vehicular ad-hoc networks, it is possible to reduce buffer occupancy in iSDIoV and control the mobility and delay bound analysis in V2V communication. The SDN will provide flexibility and reliability to the vehicular networks. An SDN controller manages the data flow in the vehicular network and controls the flow matching rules in the control plane. The iSDIoV and queuing models improve the response time and resource utilization and enhance the network complexity analysis for traffic management services. (C) 2021 Published by Elsevier B.V.

著录项

来源
《Physical communication》 |2022年第2期|101498.1-101498.9|共9页
作者
Ravi Banoth; Thangaraj Jaisingh; Shandilya Shishir Kumar;
展开▼
作者单位

Indian Sch Mines, Dept Elect Engn, Indian Inst Technol, Dhanbad 826004, Bihar, India;

Liverpool Hope Univ, Liverpool, Merseyside, England;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
Vehicular communications; Intelligent transportation systems; Software defined vehicular networks; Internet of vehicles; Queueing theory and Markov decision process; Performance modelling;

Stochastic modelling and analysis of mobility models for intelligent software defined internet of vehicles

摘要

著录项

相关主题

期刊订阅