Experimental Demonstration of Optimization based UAV placement in Vehicular Networks

Vehicular networks are used in maximum of the intelligent communication oriented applications. Vehicles which are present in the network are high speed and its mobile are highly unpredictable and that leads to reducing the communication quality during the peak traffic hours. In order to overcome these drawbacks, and Unmanned Aerial Vehicles (UAV's) which is otherwise called as flying base station is incorporated with the vehicular network. The UAV assistant vehicles are able to communicate in the efficient manner that increases inter and intra vehicular communication performance. Due to the growing number of vehicles, the network still requires improvement to standardize vehicle monitoring. In this article, optimization-based UAV placement (EOUAV) is proposed in the vehicular network to combine successful UAV deployment with better ant colony optimization. This procedure deploys UAVs appropriately, increasing network flexibility and communication quality. Energy consumption, data success rate, data loss rate, and throughput are used to analyze this suggested EOUAV's experimental results in ns2 software. The comparison study shows that the proposed EOUAV outperformed baseline approaches in data success rate and throughput.