Impact of Network Complexity, Mobility Models, and Wireless Technologies on SDN-DTN Performance in Internet of Vehicles (IoV) Environments

Abstract

The Internet of Vehicles (IoV) is a rapidly advancing field that necessitates highly efficient data transmission, particularly for services like video streaming, which require seamless delivery of audio and video content. However, the dynamic nature and high mobility inherent in IoV present significant challenges, impacting key metrics such as initial start time, stall count, and stall length. Existing research has addressed some optimization factors, yet comprehensive solutions that consider network complexities, node mobility patterns, and varying wireless technologies are still needed. This study proposes a model combining Software-Defined Networking (SDN) and Delay-Tolerant Networking (DTN) concepts to address these challenges. By exploring the impact of network complexities, node mobility patterns, and wireless technologies (including 802.11g and 802.11ax) on video streaming performance in both intra and inter-IoV networks, the study identifies critical factors contributing to optimal performance. The proposed SDN-DTN based model dynamically adapts to changing network conditions, thereby minimizing initial start times, reducing stall counts, and shortening stall lengths compared to existing methods. This approach offers valuable insights into designing robust and adaptive IoV infrastructure, emphasizing the importance of addressing complex network dynamics for seamless video streaming. The findings highlight the necessity of integrating advanced networking technologies to overcome the inherent challenges of IoV, ensuring a more resilient and efficient data transmission framework.