水下无线传感器网络采用基于RSSI的先进效率驱动定位和前所未有的精度
Kaveripakam Sathish1, Ravikumar Chinthaginjala1, Wooseong Kim2
1School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种新的深海物体定位策略,用于水下无线传感器网络 (UWSNs). 该方法通过考虑传感器定时问题和使用接收信号强度指标 (RSSI) 来准确定位来提高准确性.
科学领域:
- 海洋技术 海洋技术
- 水下声学 水下声学
- 传感器网络 传感器网络
背景情况:
- 深海物体的定位对于水下通信和导航至关重要.
- 水下无线传感器网络 (UWSNs) 面临环境变化和传感器限制的挑战.
- 精确的本地化依赖于诸如传感器放置,信号质量和所选择的算法 (AOA,TDoA,RSSI) 等参数.
研究的目的:
- 开发使用UWSNs的深海物体的关键定位策略.
- 为了应对在水下环境中不完美的时间同步和可变的声速的挑战.
- 在动态的水下条件下提高定位精度和效率.
主要方法:
- 在传感器定位中使用信标节点来验证到达距离.
- 考虑到传感器节点之间的时间失同.
- 基于媒介的声音速度的内置变化.
- 模拟系统性能,测量平均本地化错误及其变化.
主要成果:
- 拟议的系统实现了高定位精度.
- 该策略有效地考虑了时间同步问题.
- 使用收到信号强度指标 (RSSI) 的定位显示了较低的平均估计误差 (MEE).
结论:
- 开发的本地化策略提高了UWSN的精度和准确性.
- 基于RSSI的测量为深海物体定位提供了卓越的精度.
- 系统处理时间同步和环境因素的能力通过模拟来验证.
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