Open Access

ARTICLE

An Intelligent Forwarding Strategy in SDN-Enabled Named-Data IoV

by Asadullah Tariq¹, Irfan ud din¹, Rana Asif Rehman², Byung-Seo Kim^3,*

1 Department of Computer Science, The Superior University, Lahore, 54000, Pakistan
2 National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, 35400, Pakistan
3 Department of Software and Communications Engineering, Hongik University, Sejong City, 30016, Korea

* Corresponding Author: Byung-Seo Kim. Email:

(This article belongs to the Special Issue: Intelligent Software-defined Networking (SDN) Technologies for Future Generation Networks)

Computers, Materials & Continua 2021, 69(3), 2949-2966. https://doi.org/10.32604/cmc.2021.017658

Received 06 February 2021; Accepted 24 April 2021; Issue published 24 August 2021

Abstract

Internet of Vehicles (IoV), a rapidly growing technology for efficient vehicular communication and it is shifting the trend of traditional Vehicular Ad Hoc Networking (VANET) towards itself. The centralized management of IoV endorses its uniqueness and suitability for the Intelligent Transportation System (ITS) safety applications. Named Data Networking (NDN) is an emerging internet paradigm that fulfills most of the expectations of IoV. Limitations of the current IP internet architecture are the main motivation behind NDN. Software-Defined Networking (SDN) is another emerging networking paradigm of technology that is highly capable of efficient management of overall networks and transforming complex networking architectures into simple and manageable ones. The combination of the SDN controller, NDN, and IoV can be revolutionary in the overall performance of the network. Broadcast storm, due to the broadcasting nature of NDN, is a critical issue in NDN based on IoV. High speed and rapidly changing topology of vehicles in IoV creates disconnected link problem and add unnecessary transmission delay. In order to cop-up with the above-discussed problems, we proposed an efficient SDN-enabled forwarding mechanism in NDN-based IoV, which supports the mobility of the vehicle and explores the cellular network for the low latency control messages. In IoV environment, the concept of Edge Controller (EC) to maintain and manage the in-time and real-time vehicular topology is being introduced. A mathematical estimation model is also proposed in our work that assists the centralized EC and SDN to find not only the shortest and best path but also the most reliable and durable path. The naming scheme and in-network caching property of the NDN nodes reduce the delay. We used ndnSIM and NS-3 for the simulation experiment along with SUMO for the environment generation. The results of NDSDoV illustrate significant performance in terms of availability with limited routing overhead, minimized delay, retransmissions, and increased packet satisfaction ratio. Besides, we explored the properties of EC that contribute mainly in path failure minimization in the network.

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