A survey on routing and load-balancing mechanisms in software-defined vehicular networks

被引:3
|
作者
Malakar, Madhuri [1 ]
Mahapatro, Judhistir [1 ]
Ghosh, Timam [2 ]
机构
[1] Natl Inst Technol Rourkela, Comp Sci & Engn, Rourkela 769008, Orissa, India
[2] Orange Innovat, 46 Rue Republ, F-92320 Chatillon lle Defrance, France
关键词
Load-balancing; Routing; Software-defined vehicular networks; Software-defined networks; Vehicular adhoc networks; INTELLIGENT REFLECTING SURFACE; ALGORITHM; DESIGN; PATH; OPTIMIZATION; ARCHITECTURE; MANAGEMENT; PROTOCOLS; DELIVERY; SCHEME;
D O I
10.1007/s11276-024-03729-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Software-defined vehicular networks (SDVN) is a promising technology for wireless data transmissions between vehicles. SDVN inherits software-defined networking principles and aims to improve the typical performance of safety and non-safety applications of vehicular adhoc networks. Consequently, enhancing the performance of Intelligent Transportation System (ITS). However, the performance of these ITS applications largely depends on the computational capability of the controller node, which involves creating or destroying a data path from the source vehicle to the destination vehicle and generating flow rules for the requests coming from the data plane elements. As a result, SDVN often suffers from the problems of overburdening the controller node with route requests under heavy traffic generation at vehicles and single-point controller failure. To counter these problems, solutions based on multiple controllers are proposed. In fact, the load-balancing problem remains an important issue. So, routing of data with multiple controllers and load-balancing, both topics in SDVN, go hand in hand. In this paper, we survey this state-of-the-art that discusses the above-mentioned challenges, starting with the SDVN preliminaries. We scrutinize the existing routing methodologies and also discuss load-balancing techniques. Furthermore, we provide real-time applications and services of SDVN, discuss trending research, potential future research directions, and the real-life applicability of SDVN that have not been addressed previously.
引用
收藏
页码:3181 / 3197
页数:17
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