今天A2 - Kaleem, Zeeshan AU - Martinez-Caro, j.m。AU - Cano医学博士。PY - 2019 DA - 2019/11/03 TI -物联网系统集成无人机和罗拉技术:绩效评估研究SP - 4307925六世- 2019 AB -如今,无人机(uav)的受欢迎程度高,预计,在未来几年,无人机在日常服务的实现将会更大。这些新的实现利用了包含在术语物联网(IoT)下的新技术。这些技术的一个例子是远程(LoRa)，它被归类为低功率广域网(LPWAN)，具有低成本、低功耗、大覆盖面积和可能有大量连接设备。一个正确的基于无人机的物联网服务部署的一个基本部分是性能评估。但是，在这些场景中没有用于评估性能的标准化方法。本文介绍了一个用于空气质量监测的一体化UAV-LoRa系统的案例研究。每架无人机都配备了一组传感器来测量空气污染的几个指标。此外，每架UAV也包含一个用于通信目的的嵌入式LoRa节点。 Given that mobility is key when evaluating the performance of these types of systems, we study eight different mobility models, focusing on the effect that the number of UAVs and their flying speed have on system performance. Through extensive simulations, performance is evaluated via multiple quality dimensions, encompassing the whole process from data acquisition to user experience. Results show that our performance evaluation methodology allows a complete understanding of the operation, and for this specific case study, the mobility model with the best performance is Pathway because the LoRa nodes are distributed and move orderly throughout the coverage area. SN - 1530-8669 UR - https://doi.org/10.1155/2019/4307925 DO - 10.1155/2019/4307925 JF - Wireless Communications and Mobile Computing PB - Hindawi KW - ER -