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A Simulation Study for UAV- Aided Wireless Sensor Network Utilizing ZigBee Protocol

机译:基于ZigBee协议的无人机辅助无线传感器网络仿真研究

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Wireless sensor networks have been used in several applications to perform remote monitoring for a certain Area of Interest. In this work, we propose to utilize an Unmanned Aerial Vehicle (UAV) to improve the ground network connectivity, act as a data mule that collects the captured data and off-load the ground sensor nodes, who have normally limited storage capacities. We have investigated the effect of several parameters that affect the communication between the UAV and the ground sensors such as the UAV height, communication channel weather conditions, and nodes' noise factor, and evaluated the network performance measured by the average packet loss rate, end-to-end delay, and throughput. We found out that when the nodes' transceivers have a relatively high noise factor (above 20), it is recommended to keep the UAV altitude around 150 meters or below. We also noticed that the performance degrades drastically when having severe weather conditions, which requires additional mechanisms for improving the transmission performance such as the usage of error correction codes and Multiple Input Multiple Output antennas.
机译:无线传感器网络已在多种应用中用于对特定关注区域执行远程监视。在这项工作中,我们建议利用无人飞行器(UAV)来改善地面网络的连通性,充当数据ule子来收集捕获的数据并减轻通常存储容量有限的地面传感器节点的负担。我们调查了影响无人机与地面传感器之间通信的几个参数的影响,例如无人机高度,通信通道天气状况和节点的噪声因子,并通过平均丢包率,端到端来评估网络性能。到端的延迟和吞吐量。我们发现,当节点的收发器具有相对较高的噪声系数(高于20)时,建议将无人机高度保持在150米或以下。我们还注意到,在恶劣的天气条件下,性能会急剧下降,这需要其他机制来改善传输性能​​,例如使用纠错码和多输入多输出天线。

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