无人机辅助灾后通信覆盖范围优化基于物联网的大数据分析大数据分析
Biao Yang1, Xuanrui Xiong1, He Liu1
1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种无人机辅助的战略,使用物联网大数据分析来进行灾后通信. 它优化了无人机路径,以实现节能通信覆盖,改善救援工作.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 电信 电信服务 电信服务 电信服务
背景情况:
- 物联网 (IoT) 设备提供了方便,但在紧急情况下是脆弱的.
- 在灾难中破坏基础设施会导致通信中断,阻碍救援行动.
- 无人机和大数据分析为弹性通信提供了潜在的解决方案.
研究的目的:
- 提出无人机辅助通信覆盖战略,利用物联网大数据分析来应对灾后情景.
- 解决信息传播方面的挑战,支持救援行动.
- 为复杂的用户分布开发一种节能通信覆盖解决方案.
主要方法:
- 利用物联网大数据分析进行实时通信需求预测和网络优化.
- 通过将区域划分为单元格,以巡航方式使用无人机提供通信援助.
- 开发内部螺旋巡航通信覆盖 (IS-CCC) 算法,以基于覆盖范围,公平性和能源效率优化无人机轨迹.
主要成果:
- 拟议的战略有效地划分区域,以满足用户通信的最低数据要求.
- 基于用户分布的飞行通信或悬空通信协议的选择性使用.
- 模拟结果证实了节能巡航通信覆盖,减少无人机的能源消耗.
结论:
- 无人机辅助战略为灾后通信重建提供了可行的解决方案.
- 通过IS-CCC算法,可以有效地部署无人机在复杂环境中进行通信覆盖.
- 这种方法提高了通信弹性,并在紧急情况下降低了运营能源成本.
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