智能拥堵控制机制用于物联网支持的无线传感器网络,使用混合聚合和调度技术.
Shiv H Sutar1, Y Bevish Jinila2, Kailas Patil3
1School of Computing, Sathyabama Institute of Science & Technology (Deemed to be University); Department of Computer Engineering and Technology, MIT World Peace University; shiv.sutar@mitwpu.edu.in.
Journal of visualized experiments : JoVE
|February 2, 2026
概括
本研究介绍了一种智能拥堵控制协议,用于支持物联网的无线传感器网络 (WSN). 混合方法通过结合自适应调度和数据聚合来提高数据包的交付和网络寿命.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 人工智能的人工智能
背景情况:
- 支持物联网的无线传感器网络 (WSN) 的拥堵显著降低了性能,特别是在高速流量下.
- 现有的协议难以有效地管理网络负载,影响数据包交付,延迟和能源消耗.
- 需要智能拥堵控制机制,这些机制具有能源效率,可扩展性和服务质量 (QoS) 意识.
研究的目的:
- 为支持物联网的WSN开发和评估一个智能拥堵控制协议.
- 结合混合数据聚合,自适应调度和神经模糊决策引擎,以实现高效的网络负载处理.
- 为探索先进的拥堵控制策略提供可重复的框架.
主要方法:
- 使用NS-2.35.35,模拟了具有不同节点密度和流量模式的网络拓.
- 实施了混合聚合机制,将基于时间和计数的数据包与优先级标签相结合.
- 采用了自适应式调度方法,使用双重优先级队列,由加权的轮系统管理.
- 开发了一个神经模糊控制器,评估缓冲区占用率,链接质量,通道利用率,剩余能量和流量优先级,以调节网络参数.
主要成果:
- 拟议的协议在模拟中显示出与基线方案相比的优越性能.
- 提高了关键性能指标,包括数据包交付比率,端到端延迟,吞吐量和能源消耗.
- 该协议有效地管理了网络负载,从而提高了网络寿命和能源效率.
结论:
- 智能拥堵控制协议为改善支持物联网的WSN性能提供了可行的解决方案.
- 结合聚合,调度和神经模糊控制的混合方法在处理复杂的交通条件时是有效的.
- 这项工作为未来对节能,可扩展和QoS意识的WSN的研究提供了可重现的框架.
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