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一个混合定位框架用于大规模的三维物联网环境
Shima Koulaeizadeh1, Hatef Javadi2, Sudabeh Gholizadeh3
1Communication Networks, Technische Universität, 09111 Chemnitz, Germany.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究介绍了一种新的无GPS定位框架,用于3D物联网 (IoT) 和边缘计算 (EC) 环境. 拟议的方法通过整合DV-Hop,JS和ARO算法来提高数据的准确性,比现有解决方案高出39%的精度.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 物联网 (IoT) 和边缘计算 (EC) 对现代应用至关重要,但需要准确的数据源本地化.
- 全球定位系统 (GPS) 由于覆盖范围,能源和干扰问题,通常不适合物联网/EC.
- 准确的地理来源确定对于物联网和EC中感知数据的意义至关重要.
研究的目的:
- 为三维 (3D) 边缘计算 (EC) 环境提出一个创新的无GPS定位框架.
- 在物联网和EC场景中解决GPS的局限性.
- 提高3D物联网/EC系统中数据源定位的准确性和效率.
主要方法:
- 对3D环境的距离向量跳转 (DV-Hop) 和多角度算法的概括.
- 整合DV-Hop和多角度与结构修改,以平衡勘探和开发.
- 整合水母搜索 (JS) 和人工子优化 (ARO) 算法,包括莱维飞行扰动和本地搜索,以提高收和精度.
主要成果:
- 在16个不同的3D物联网环境中模拟性能.
- 与使用平均平方错误 (MSE),规范化定位错误 (NLE),平均定位错误 (ALE) 和定位错误变异 (LEV) 度量标准的九个最先进的定位算法进行比较.
- 通过定量相对改进比率测试,比竞争方法平均提高了39%的准确性.
结论:
- 拟议的无GPS定位框架显著提高了3D物联网/EC环境中的定位精度.
- 集成DV-Hop,JS和ARO算法为数据源本地化提供了强大而高效的解决方案.
- 该框架有效地克服了GPS的局限性,为各种物联网和EC应用提供了切实可行的替代方案.
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