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UAV-based framework for effective data analysis of forest fire detection using 5G networks: An effective approach towards smart cities solutions
International Journal of Communication Systems ( IF 2.1 ) Pub Date : 2021-04-22 , DOI: 10.1002/dac.4826
Amit Sharma 1 , Pradeep Kumar Singh 2
Affiliation  

The wireless communication among the unmanned aerial vehicles is one of the most promising technologies for many of the future systems. The requirement of high performance especially with 5G networks, coverage and efficient area mapping is critical issues that requires installation of more stations by service providers. This work emphasizes the use of unmanned aerial vehicles for the application of fire detection. The trajectory of UAV for the efficient communication of multiple UAVs to the ground station is analysed. The objective behind this study is to present a system that considers two parameters: the network delay with maximum coverage through UAVs and communication throughput. Therefore, we first introduce the mathematical model for the network delay through the speed, acceleration and direction of the moving UAV. For the trajectory optimization, the speed and radius of the UAV flight are optimized for increasing the energy efficiency in communication. Additionally, an efficient architecture is proposed for the energy efficient UAV communications with general constraints such as begin/end locations and their velocities along with the acceleration and top speed. The experimental result presents that the proposed scheme attains better energy efficiency among UAV communication with considering other proposed schemes. This may be found useful for detecting forest fires and reporting the event at early stage to control room setup in smart cities using UAV and 5G assisted technologies.

中文翻译:

使用 5G 网络对森林火灾探测进行有效数据分析的基于无人机的框架:实现智慧城市解决方案的有效方法

无人机之间的无线通信是未来许多系统最有前途的技术之一。对高性能的要求,尤其是 5G 网络、覆盖范围和高效的区域映射是需要服务提供商安装更多站点的关键问题。这项工作强调使用无人机进行火灾探测的应用。分析了多架无人机与地面站高效通信的无人机轨迹。本研究的目的是提出一个考虑两个参数的系统:通过无人机实现最大覆盖的网络延迟和通信吞吐量。因此,我们首先通过移动无人机的速度、加速度和方向来介绍网络延迟的数学模型。对于轨迹优化,无人机飞行的速度和半径进行了优化,以提高通信中的能量效率。此外,针对具有一般约束的节能无人机通信提出了一种有效的架构,例如开始/结束位置及其速度以及加速度和最高速度。实验结果表明,在考虑其他提议方案的情况下,该方案在无人机通信中获得了更好的能源效率。这对于检测森林火灾和早期报告事件以使用无人机和 5G 辅助技术控制智能城市中的房间设置可能很有用。提出了一种高效的架构,用于具有一般约束的节能无人机通信,例如开始/结束位置及其速度以及加速度和最高速度。实验结果表明,在考虑其他提议方案的情况下,该方案在无人机通信中获得了更好的能源效率。这对于检测森林火灾和早期报告事件以使用无人机和 5G 辅助技术控制智能城市中的房间设置可能很有用。提出了一种高效的架构,用于具有一般约束的节能无人机通信,例如开始/结束位置及其速度以及加速度和最高速度。实验结果表明,在考虑其他提议方案的情况下,该方案在无人机通信中获得了更好的能源效率。这对于检测森林火灾和早期报告事件以使用无人机和 5G 辅助技术控制智能城市中的房间设置可能很有用。
更新日期:2021-04-22
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