Resource Management and GA-Based Scheduling for Unmanned-Aerial-Vehicle Communications

The integration of vehicular communication and unmanned aerial vehicle (UAV) technology has become a most trending topic and it occupies maximum of the attention of both the industrial and academic sectors. To achieve high-quality communication with the ground and the air medium, the aerial vehicles are connected to the cellular network so the year energy constraints are normalized. At the time of high speed data transmission the vehicles underwent certain drawbacks like delay during data uplink and high power consumption. To overcome these drawbacks in this article resource management and Generic Algorithm (GA) based scheduling (RMGAS-UAV) is developed for aerial networks based environments. The core modules of RMGAS-UAV are an efficient system model and GA based drone scheduling. This models the data transmission quality of the aerial vehicles are highly improved. This network model is designed in the software called NS3 and the parameters which are taken for result calculation are the data delivery ratio, network throughput, routing overhead, energy efficiency, and energy consumption. From the calculated results, it is shown that the RMGAS-UAV obtained better results in terms of the energy efficiency and data delivery when compared with the earlier methods.