通过雾计算和区块链技术在车辆网络中赋权无人机
Shivani Wadhwa1, Divya Gupta2, Shalli Rani1
1Institute of Engineering and Technology, Chitkara University, Punjab, India.
PloS one
|January 24, 2025
概括
本研究介绍了一种安全的无人机网络架构,集成雾计算和区块链,以实现高效的物联网数据处理. 拟议的模型提高了无人机的性能,并减少了时间敏感任务的响应时间.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 网络安全 网络安全
背景情况:
- 无人机对于时间敏感的任务需要高效的计算,但有限的电池寿命需要节能系统.
- 现有的无人机网络架构缺乏全面的安全性和实时处理能力,用于自动化操作.
- 雾计算为无人机提供本地化计算资源,改善服务响应时间.
研究的目的:
- 提出一个安全,可靠和实时的无人机网络服务架构.
- 通过与雾计算和区块链技术的合作来加强无人机操作.
- 为满足对安全高效无人机网络服务架构的需求.
主要方法:
- 开发了一个用于无人机的雾计算与区块链技术 (FCDBT) 模型.
- 集成区块链用于安全的物联网数据存储和处理.
- 实现了动态无人机轨迹规划和优化计算卸载算法.
- 评估了区块链共识算法 (PoW,PoS,DAG).
主要成果:
- 拟议的架构显著减少了平均响应延迟.
- 观察到更好的吞吐量,特别是在利用雾节点资源时.
- 定向环形图 (DAG) 共识算法在物联网数据处理方面表现出卓越的性能.
结论:
- FCDBT模型为无人机网络服务提供安全,可靠和实时的解决方案.
- 区块链集成确保在无人机雾环境中安全存储和处理数据.
- 拟议的架构有效地优化了物联网应用程序的无人机性能.
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