在基于物联网的无线传感器网络中使用人工智能驱动的节能路由:全面审查
Sumendra Thakur1, Nurul I Sarkar1, Sira Yongchareon1
1Computer and Information Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本综述探讨了物联网 (IoT) 中无线传感器网络 (WSN) 的 AI 增强路由. 它突出了人工智能.
科学领域:
- 计算机科学 计算机科学
- 网络化 网络化 网络化
- 人工智能的人工智能
背景情况:
- 无线传感器网络 (WSN) 面临着物联网 (IoT) 的挑战,因为网络复杂性和移动节点.
- 传统的路由与WSN-IoT系统中的数据拥堵和不均的能源消耗作斗争.
- 优化的路由策略对于可持续的WSN-IoT性能至关重要.
研究的目的:
- 为WSN-IoT.IoT.全面审查传统和人工智能增强的节能路由技术.
- 分析现有路由解决方案的局限性和性能指标.
- 确定智能WSN-IoT路由的研究挑战和未来方向.
主要方法:
- 对100多项关于WSN-IoT路由研究的系统文献综述.
- 技术的分类,包括元启发学,机器学习,强化学习和基于AI的跨层方法.
- 分析性能指标,如可扩展性,能源效率,吞吐量和数据包交付.
主要成果:
- 人工智能增强的方法在克服WSN-IoT中传统路由的局限性方面表现有希望.
- 多种人工智能方法为提高网络性能和提高能源效率提供了潜力.
- 发现的关键局限性包括可扩展性问题和动态拓适应.
结论:
- 为推进WSN-IoT中的智能,节能路由提供了一个结构化的基础.
- 未来的研究应该专注于解决下一代物联网网络所面临的挑战.
- 人工智能集成对于提高WSN-IoT系统的效率和可持续性至关重要.
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