优化的物联网协议堆,用于无的智能家居通信,使用基于随机森林的互操作性分析
A Sriram1, D Manikandan2, R Venketesan3
1Department of Electronics and Communication Engineering, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India.
Scientific reports
|November 17, 2025
概括
本研究介绍了一个优化的物联网 (IoT) 协议堆,使用机器学习来增强智能家居设备的通信. 该系统通过智能地管理设备交互来提高连接性,能源效率和用户体验.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 网络工程 网络工程
背景情况:
- 智能家居有各种各样的设备与不兼容的通信协议,阻碍了无互操作性.
- 现有的解决方案往往缺乏适应性,导致通信故障和低于最佳性能.
研究的目的:
- 为智能家居环境引入一个优化和协调的物联网 (IoT) 协议堆.
- 开发一种基于机器学习的自适应系统,以改善设备通信和网络管理.
主要方法:
- 利用随机森林算法进行交互分析,以识别连接模式并预测最佳通信途径.
- 实现了一个系统架构,包括一个上下文意识的协议管理器,学习驱动的通信控制器和自适应界面映射器.
主要成果:
- 在70%的使用时间内,实现了超过85%的通信成功率和超过0.7的兼容性得分.
- 在70%的案例中,延迟时间保持在150毫秒以下,证明了有效的数据交换.
- 据报道,由于集成AI框架,节能高达30%.
结论:
- 拟议的物联网协议堆显著提高了智能家居设备的互连性,能源效率和用户体验.
- 基于机器学习的方法为复杂的智能家居网络挑战提供了强大而适应性的解决方案.
- 该系统通过智能设备交互来改善智能家居自动化,安全性和舒适性.
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