基于混合元启发式算法的车联网交通管理系统节能路由结构改进

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of High Speed Networks Pub Date : 2022-11-03 DOI:10.3233/jhs-222003
Xiao-qiang Shao
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引用次数: 0

摘要

如今,车联网(IoV)应用与智能设备通信,并部署智能交通系统(ITS)来识别交通拥堵问题。智能城市和物联网平台面临的主要挑战之一是智能交通拥堵问题的数据路由方法,以导航数据传输的单个信息,这是ITS的关键问题。提供一种方法来扩展服务质量(QoS)变量和能效方法,以指导基于路由的流量管理系统在物联网环境中的数据传输,这是一个重要的问题,因为物联网设备的能耗是低功耗存储的关键问题。本文提出了一种混合遗传算法和社交蜘蛛优化(GA-SSO)算法,用于优化车联网环境下的交通拥堵和智能设备的能量感知路由模式。在进行了一些研究和比较之后,我们接受了所提出的图式的准确性和普遍性。实验结果证实,GA-SSO算法的计算决定了能量感知路由模式的最优和理想安排,从本质上证明了QoS变量的执行可以监督车联网节点之间数据传输带来的信息阻塞。
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Improved energy-efficient routing architecture for traffic management system using a hybrid meta-heuristic algorithm in Internet of vehicles
Today, Internet of Vehicles (IoV) applications communicate with smart devices and deploy Intelligent Transportation Systems (ITS) to recognize traffic congestion problems. One of the main challenges of smart cities and IoV platforms is data routing methods for smart traffic congestion problems to navigate the individual information of data transmission as a critical issue in the ITS. Providing a way to extend the Quality of Service (QoS) variables and energy efficiency methods for directing data transmission in routing-based traffic management systems within the IoV environment is an important issue since the energy consumption of IoV devices is a critical issue in low-power saving storage. This paper presents a hybrid Genetic Algorithm and Social Spider Optimization (GA-SSO) algorithm for an energy-aware routing schema for optimizing traffic congestion and smart devices in the IoV environment. After conducting some studies and comparisons, the exactness and prevalence of the proposed schema were received. Experimental results confirmed that the GA-SSO algorithm calculation decides optimal and ideal arrangement for energy-aware routing schema demonstrate by essentially making strides the execution of QoS variables can oversee information blockage comes from data transmission between IoV nodes.
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来源期刊
Journal of High Speed Networks
Journal of High Speed Networks Computer Science-Computer Networks and Communications
CiteScore
1.80
自引率
11.10%
发文量
26
期刊介绍: The Journal of High Speed Networks is an international archival journal, active since 1992, providing a publication vehicle for covering a large number of topics of interest in the high performance networking and communication area. Its audience includes researchers, managers as well as network designers and operators. The main goal will be to provide timely dissemination of information and scientific knowledge. The journal will publish contributed papers on novel research, survey and position papers on topics of current interest, technical notes, and short communications to report progress on long-term projects. Submissions to the Journal will be refereed consistently with the review process of leading technical journals, based on originality, significance, quality, and clarity. The journal will publish papers on a number of topics ranging from design to practical experiences with operational high performance/speed networks.
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