Efficient Multiple UAV Positioning and Resource Allocation in Intelligent Wireless Network

Intelligent Wireless Network (IWN) is a trending technology and it is used in maximum of intelligent communication in order to improve its performance Unmanned Aerial Vehicles (UAVs) is incorporated with the IWS network. In recent times UAVs handles certain drawbacks like and predictable mobility in the random topology. In order to overcome this drawback’s in this article Efficient Multiple UAV Positioning and Resource Allocation (EMURA) is developed. The core idea of this process is the creation of effective system model, channel model, queue based resource allocation and effective multi UAV positioning process. Through this processes an effective communication can be attained by the reduction of delay and power utilization among the devices. The model is implemented using ns2, and the study focuses on calculating the end-to-end delay and as well the vehicles energy consumption characteristics. From results it is proven that the proposed EMURA attains lower delay and energy consumption which leads to improve the communication quality of the proposed EMURA.