Evaluation of video streaming capacity of UAVs with respect to channel variation in 4G-LTE Surveillance Architecture

Nobody can deny the importance of technology in every sphere of life. The latest trends in technology ensure better surveillance which could not be possible ever before. Drones with attached cameras also known as Unmanned Aerial Vehicles (UAVs) are one of the example used in surveillance operations. These camera mounted spies have the ability to capture real-time video of targeted areas in the monitored zone and stream the captured video to the location where all activities are observed by the administrative body. This setup provides the platform of taking prompt action in time if required. To enhance the efficiency of UAVs in a surveillance framework, it is very essential to understand the circumstances where the video-streaming capacity of UAVs are affected. In this paper, we propose a UAV-based surveillance architecture over 4G-LTE Network and we try to explore the fact that how variation in transmitting channel effects the video streaming capacity of UAVs. For this purpose, we take advantage of the physical layer attribute Reference Signal Receive Power (RSRP) which is used to measure the channel strength of wireless link at UAVs. This cross-layer information is helpful in upgrading the performance of the upper layer application used for surveillance purposes. For simulation, we have selected NS-3 which is the most trusted network simulator in the research community. Simulation results prove that variation in the channel has a direct link with the transmitting capacity of UAVs.