一个基于边界节点和四面体近似费马特点的网络恢复策略在三维无线传感器网络中
Bin Xu1, Hongsheng Chen2, Yanxu Cheng1
1School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, 437100, China.
Scientific reports
|August 19, 2025
概括
本研究介绍了一种新的策略,用于在故障后恢复3D无线传感器网络 (WSN) 的连接. 它大大减少了网络恢复所需的中继节点,提高了紧急情况的可靠性.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 无线传感器网络 (WSN) 对3D物联网应用至关重要,但易受环境危害和攻击的影响,导致网络分区.
- 在分区WSN中恢复连接对于紧急数据传输至关重要,但在计算上具有挑战性 (NP-hard).
研究的目的:
- 为面临分区的3D无线传感器网络 (WSN) 提出一种新的连接恢复策略.
- 为了解决找到网络恢复的最小中继节点的NP-hard问题.
主要方法:
- 该研究利用边界节点和四面体近似费马点来恢复连接.
- 评估了三个算法:Prim算法的变体 (VPrim),四面体近似费马点算法 (TAFP) 和混合方法 (HybridTV).
主要成果:
- 拟议的策略大大减少了网络恢复所需的中继节点的数量.
- 在恢复网络拓中观察到增强的连接性.
- 在复杂的3D环境中证明了整体故障耐受性的改善.
结论:
- 新的连接恢复策略为3D WSNs提供了一个强大的解决方案.
- 该方法有效地恢复了网络连接,并在紧急情况下提高了弹性.
- 这些方法提供了一种计算效率高的方法来解决网络恢复的NP-hard问题.
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