基于虚拟骨干网络的战术边缘网络的动态拓优化方法.
Zhixiang Kong1, Zilong Jin2, Chengsheng Pan1,3
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
本研究介绍了无线传感器网络的动态拓优化方法,提高了战场环境中的生存能力和通信. 虚拟骨干网络方法改善了覆盖范围和网络结构,即使有节点故障.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 无线传感器网络 无线传感器网络
背景情况:
- 无线传感器网络 (WSNs) 在动态,高流动性的战场环境中面临挑战,原因是节点的移动和损坏.
- 在这些具有挑战性的操作环境中,低生存率和通信效率是关键问题.
- 现有的方法在频繁的拓变化下努力保持网络完整性和性能.
研究的目的:
- 为WSN在高流动性的战场环境中提出一个动态拓优化方法.
- 提高网络生存能力,通信效率和覆盖范围.
- 为了解决频繁节点移动或损坏造成的问题.
主要方法:
- 虚拟骨干网络是使用连接主导集 (CDS) 和非骨干节点优化建立的.
- 该方法采用两个阶段:拓重建 (当覆盖范围低于一个值时) 和拓维护.
- 拓维护使用多CDS调度算法,并对非骨干节点进行小的位置调整.
主要成果:
- 拟议的方法显著改善了网络覆盖范围,并在各种网络故障尺度下优化了网络结构.
- 在大规模故障场景 (80%门) 中,覆盖率的增强范围从13.36%到26.12%.
- 小规模故障导致覆盖率在4.90%至7.84%之间得到改善.
结论:
- 动态拓优化方法有效地恢复了连接,并增强了WSN的覆盖范围.
- 虚拟骨干网络方法为在动态环境中保持网络性能提供了强大的解决方案.
- 该方法在网络弹性和结构优化方面提供了显著的改进.
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