使用无人机辅助无线传感器网络的智能城市的安全和能效的集群内部和集群内部优化方案.
Niayesh Gharaei1, Aliaa M Alabdali2
1Department of Computer Engineering, Faculty of Engineering, OSTİM Technical University, Ankara, Turkey. niayesh.gharaei@ostimteknik.edu.tr.
Scientific reports
|February 5, 2025
概括
本研究介绍了使用无线移动能量发射器 (WMET) 和无人机的无线传感器网络 (WSN) 的安全框架. 它优化了能源平衡和数据安全,大大延长了网络寿命和覆盖范围.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无线传感器网络 (WSNs) 在连续运行和平衡能源消耗方面面临着挑战.
- 现有的无线移动能源发射器 (WMET) 和集群方法往往无法优化充电位置和能量平衡.
- 安全漏洞,如数据加密不足,损害了WSN的完整性.
研究的目的:
- 为WSNs提出一个新的安全和节能的集群间和集群内部优化方案 (SEI2) .
- 解决WMET充电优化和集群能量平衡方面的局限性.
- 通过强大的加密机制增强数据安全.
主要方法:
- 实施了一个基于WMET的框架,利用无人机 (UAV) 进行动态传感器节点充电.
- 在集群中优化WMET充电位置,以最大限度地提高能源效率.
- 在集群头 (CH) 和基站 (BS) 层面应用了强大的数据加密.
主要成果:
- 在网络寿命中实现了35%的改进.
- 减少了19%的泄露数据包.
- 增加了15%的覆盖时间,并将CHs的62%和MNs的88%的能量差异降到最低.
结论:
- 该SEI2方案提供了一种全面的解决方案,可以延长WSN的寿命,提高能源效率和加强数据安全.
- 该框架特别适用于像智能城市部署这样的苛刻应用程序.
- 优化的充电和强大的安全性对于先进的WSN性能至关重要.
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