Energy Efficient Improving Routing Model for UAVs Assisted Vehicular Adhoc Networks

Abstract

Vehicular Adhoc Networks (VANETs) have widespread applications in intelligent transportation systems, serving diverse purposes. These networks are characterized by their dynamic nature, which unfortunately leads to communication instability, causing increased energy consumption, delays, and routing overhead. To overcome obstacles at ground level, Unmanned Aerial Vehicles (UAVs) are introduced, enabling data transmission through an aerial medium, free from ground-level obstructions. However, for effective communication in UAV-assisted VANETs, a reliable routing protocol is essential. This paper proposes an improved routing model for UAV-assisted VANETs, called IUAVA-RP, which employs parameter-based routing and optimal path selection. The optimal path selection is performed using a decision-making process, resulting in highly effective and optimal routing for efficient data transmission. The proposed IUAVA-RP protocol is simulated using NS2 and SUMO, and its performance analysis includes parameters such as: energy efficiency, packet delivery ratio, end-to-end delay, and routing overhead. Comparative analysis is conducted with two existing protocols, HGFA-RP and AOMDV-RP. The results demonstrate that the proposed IUAVA-RP protocol achieves higher energy efficiency and packet delivery ratio, as well as lower end-to-end delay and routing overhead compared to the earlier protocols.