在无线传感器网络中准确的无上下文接收信号强度方法定位
Nour Zaarour1, Nadir Hakem1, Nahi Kandil1
1Telebec Underground Communications Research Laboratory, University of Quebec at Abitibi-Temiscamingue, 675, 1e Avenue, Val-d'Or, QC J9P 1Y3, Canada.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
本研究介绍了上下文接收信号强度方法 (CRSSA),这是无线传感器网络 (WSN) 的有效无定位方案. 使用接收的信号强度和网络上下文,CRSSA准确地估计了节点位置,提高了WSN本地化准确性.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络化 网络化 网络化
背景情况:
- 传感器定位对于无线传感器网络 (WSN) 来说至关重要.
- 精确地估计传感器之间的距离对于精确的定位至关重要.
- 现有的无方法在复杂的色环境中经常面临挑战.
研究的目的:
- 为WSN提供一种新的无定位方案,称为上下文接收信号强度方法 (CRSSA).
- 在复合色模型中开发一个关键参数的联合估计方法,如通信范围和路径损失指数 (PLE).
- 准确估计2D无WSN中的节点间距离和节点位置.
主要方法:
- 利用接收信号强度 (RSS) 值和上下文网络连接.
- 开发范围,路径损失指数 (PLE) 和节点间距离的联合估计方法.
- 采用复合色模型来解决多路径色和阴影效应.
- 基于网络参数,制定通信范围和PLE的分析表达式.
主要成果:
- 成功估计了关键参数 (通信范围,PLE) 作为网络大小,连接性和密度的函数.
- 在估计节点间距离和节点位置方面取得了相对较高的准确性.
- 通过广泛的模拟来证明CRSSA计划的有效性.
结论:
- CRSSA本地化方案为无WSN本地化提供了一个简单而有效的解决方案.
- 拟议的联合估计方法准确确定网络参数和节点位置.
- 在不同的WSN环境中,CRSSA显示了改善本地化准确性的巨大潜力.
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