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混合传感器网络中的覆盖孔恢复基于紧急通信的关键感知交叉点
He Li1,2, Shixian Sun1, Chuang Dong2
1Henan Intelligent Emergency Service and Security Engineering Research Center, Nanyang Normal University, Nanyang 473061, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
本研究引入了一种用于检测和恢复无线传感器网络 (WSN) 覆盖漏洞的新方法. 该方法优化了能源消耗,并通过智能管理传感器节点来改善网络覆盖率.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 无线通信无线通信
背景情况:
- 无线传感器网络 (WSNs) 面临着能源耗尽的挑战,导致覆盖孔和性能降低.
- WSN 中的覆盖漏洞损害了数据质量,网络效率和整体服务质量.
- 有效地检测和恢复覆盖孔对于可靠的WSN运行至关重要.
研究的目的:
- 提出一种有效的方法来检测和恢复无线传感器网络中的覆盖孔.
- 解决因覆盖孔造成的能源耗尽和网络功能障碍的问题.
- 通过改进覆盖管理,提高WSN的性能和可靠性.
主要方法:
- 拟议的方法将WSN划分为单位,并选择代表性代理节点.
- 覆盖率的百分比是准确计算,以检测覆盖孔.
- 粒子集群优化 (PSO) 用于洞恢复,使用关键感知交叉点作为初始值.
主要成果:
- 该算法将网络能耗降低了6.68%.
- 移动节点所行驶的距离减少了8.51%.
- 与现有算法相比,网络漏洞恢复的百分比增加了2.16%.
结论:
- 开发的方法有效地检测和恢复WSNs中的覆盖孔.
- 这种方法可以显著提高能源效率和网络覆盖率.
- 这种技术为提高无线传感器网络的寿命和性能提供了一个有希望的解决方案.
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