RADAR: A rapid discovery algorithm for routes in SDN-based IoV

IF 6.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Digital Communications and Networks Pub Date : 2026-03-01 Epub Date: 2024-08-08 DOI:10.1016/j.dcan.2024.08.001
Zahid Khan , Nauman Khan , Anis Koubaa , Adel Ammar , Wadii Boulila
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引用次数: 0

Abstract

Link failures are a critical issue that disrupts consistent communications in the fast-evolving Internet-of-Vehicles (IoV) environment. In response to the aforementioned limitation, we introduce the rapid discovery algorithm for routes (RADAR), a novel scheme designed for rapid route discovery in the event of abrupt link failures or topological changes. Built on a heuristic Theta⁎ algorithm, RADAR operates within a three-layered Software-Defined Networking (SDN) architecture to ensure seamless communications. The first layer collects vital vehicle information, including location, speed, direction, and vehicle ID. The second layer uses an SDN edge controller to carry out local and intra-zone path discovery with the Theta⁎ heuristic algorithm. The third layer introduces a global controller that oversees inter-zone route discovery, thereby expanding the network's reach and capabilities. To validate RADAR's effectiveness, we compare its performance to those of Dijkstra-based and A⁎ path planning algorithms across key metrics—Route Discovery Messages (RDM), Path Length (PL), and Route Discovery Time (RDT). Our analysis shows significant improvements with RADAR over Dijkstra, achieving up to an 80% increase in RDM, 20% in PL, and 70% in RDT. It also surpasses A⁎ by up to 70% in RDM and 60% in RDT. These results indicate that RADAR enhances routing reliability in IoV systems, thereby improving overall network performance.
雷达:一种基于sdn的车联网路由快速发现算法
在快速发展的车联网(IoV)环境中,链路故障是破坏一致通信的关键问题。针对上述限制,我们引入了路由快速发现算法(RADAR),这是一种在链路突然故障或拓扑变化情况下快速发现路由的新方案。RADAR基于启发式Theta算法,在三层软件定义网络(SDN)架构中运行,以确保无缝通信。第一层收集重要的车辆信息,包括位置、速度、方向和车辆ID。第二层使用SDN边缘控制器,使用Theta启发式算法进行本地和区域内路径发现。第三层引入了一个监督区域间路由发现的全局控制器,从而扩展了网络的覆盖范围和功能。为了验证RADAR的有效性,我们将其性能与基于dijkstra和A -路径规划算法的性能进行了比较,这些关键指标包括路由发现消息(RDM)、路径长度(PL)和路由发现时间(RDT)。我们的分析显示,与Dijkstra相比,RADAR有了显著的改进,RDM增加了80%,PL增加了20%,RDT增加了70%。在RDM和RDT中,它也分别超过了70%和60%。这些结果表明,雷达增强了车联网系统的路由可靠性,从而提高了整体网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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