在传感器网络中基于增强的粒子优化节点部署和覆盖
Kondisetty Venkata Naga Aruna Bhargavi1, Gottumukkala Partha Saradhi Varma2, Indukuri Hemalatha3
1Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad 500075, Telengana, India.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
这项研究优化了无线传感器网络 (WSN) 覆盖范围,通过使用增强的粒子群优化 (EPSO) 算法来战略定位传感器节点,显著提高检测概率并减少部署冗余.
科学领域:
- 无线通信网络是无线通信网络.
- 传感器网络优化 传感器网络优化
- 覆盖增强算法 覆盖增强算法
背景情况:
- 无线传感器网络 (WSN) 对于监测感兴趣地区 (ROI) 是至关重要的.
- 随机的传感器节点部署和电池耗尽导致覆盖范围较差和覆盖孔.
- 最佳的传感器节点定位对于有效的WSN覆盖是必不可少的.
研究的目的:
- 在WSN中部署之前定义最佳的传感器节点位置.
- 使用增强的粒子群优化 (EPSO) 算法来增加覆盖面积.
- 为了评估不同频段 (3.6GHz,26GHz,38GHz) 的性能.
主要方法:
- 为节点放置提出了一个增强的粒子群优化 (EPSO) 算法.
- 利用基于欧几里德距离的概率覆盖模型来识别覆盖差距.
- 结合EPSO与Delaunay三角化 (DT) 来优化节点位置并填补覆盖孔.
主要成果:
- EPSO算法成功地避免了节点的接近,并确保了目标覆盖范围.
- 通过跨频段的平均78-82次代实现了收的结果.
- 与现有方法 (6-120米) 相比,与4米的通信半径显著改善了覆盖范围.
结论:
- 拟议的EPSO-DT方法有效地提高了WSN覆盖率,并优化了节点部署.
- 该方法保证了更高的覆盖概率,并解决了随机部署的问题.
- 优化的传感器节点定位对于下一代无线网络应用程序至关重要.
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