Improved Network Capacity Using Stable Positioning and Clustering Strategy for UAV Network

Vehicle communication is becoming highly trending nowadays, and it is very useful to develop intelligent communication among vehicles. Due to its high speed and variable mobility, the network efficiency is reduced and that leads to ineffective communication standards. To overcome such a drawback in recent times, unmanned aerial vehicles (UAVs) have been introduced, which are able to increase the flexibility and manage the high mobility of the vehicles and is a cost-effective model. The current challenges in aerial vehicles are improper positioning and maximum power utilization. To overcome such drawbacks, this article improves the capacity of the network using a stable positioning and clustering strategy (INSPC-UAV) is developed. The core modules of the proposed model are effective system models with a UAV cell structure and clustering strategy to improve the bandwidth utilization and throughput. Experimental demonstration of the INSPC-UAV is done in the software NS3, and the parameters that are taken into consideration to analyze the network performance are packet delivery ratio, network throughput, average delay, routing overhead, and energy efficiency. From the resulting outcome, it is true that the INSPC-UAV achieves better efficiency than the earlier models.