Reliability-based Efficient Deployment with Probabilistic Data Forwarding for UAV Networks

To create more betterment in the stability of vehicular network, Unmanned Aerial Vehicles (UAVs) are incorporated into them and they consist of certain characteristics such as being small in size, cost-effective, and highly flexible. This technology is mainly utilized to improve the spectrum resources in specific areas and to attend effective transmission control among the devices which are present in that particular area. The major challenges of the aerial vehicles are proper localization and to achieve that in this article reliability-based efficient deployment with probabilistic data forwarding (REDPD-UAV) is developed. The core processes that are present in this model are effective UAV channel model creation, energy model construction, and efficient data processing with special filtering and load balancing. With the presence of these models, the performance of the aerial vehicles in densely populated areas and remote sensing areas is improved. This network model is constructed in the software NS3, and the parameters that are used for the performance analysis are routing overhead, energy efficiency, packet delivery ratio, network throughput, and average delay. From the measured results, it’s seen that the REDPD-UAV attends better results in terms of efficiency and delivery ratio when compared with the earlier baseline methodologies.