一个基于自适应策略的距离向量跳转的混合定位算法,以及对无线传感器网络的改进的子搜索
Zhiwei Sun1, Hua Wu1, Yang Liu1
1School of Information Science & Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
一个新的混合本地化算法,HADSS,提高了无线传感器网络的准确性. 它改进了跳跃计数和纠正距离,显著优于现有方法.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
背景情况:
- 在无线传感器网络 (WSN) 中,节点定位至关重要.
- 普遍存在的距离向量跳转 (DV-Hop) 算法提供无范围定位,但缺乏足够的准确性.
研究的目的:
- 为了提高WSNs的本地化准确性.
- 为了解决标准DV-Hop算法的局限性.
主要方法:
- 提出了一种混合本地化算法:基于自适应策略的距离向量跳和改进的小搜索 (HADSS).
- 实施了一种适应性跳计数策略,用于精制跳计数的校正因数.
- 使用平均平方误差计算平均跳跃距离,并使用节点信任度和权重方法进行校正.
主要成果:
- 与传统方法相比,自适应跳数计数策略可以减少错误和通信开销.
- 结合权重和信任度的方法通过使用全球和本地网络信息来最大限度地减少平均跳跃距离的错误.
- 与现有的五种本地化算法相比,模拟实验表明HADSS的准确性明显更高.
结论:
- HADSS算法在WSN本地化准确度上提供了实质性的改进.
- 提出的适应性策略有效地提高了基于DV-Hop的本地化性能.
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