RSS-Based Localization for Wireless Underground Battery-Free Sensor Networks
RSS-Based Localization for Wireless Underground Battery-Free Sensor Networks
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DOI：
10.1109/lsens.2022.3212689
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发表时间：
2022-10
影响因子：
2.8
通讯作者：
Hongzhi Guo
中科院分区：
文献类型：
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作者：
Hongzhi Guo
地下无电池传感器不需要更换电池，可以支持农业应用的大规模部署。地下环境是动态的，土壤介电常数和电导率因降水和灌溉而变化显着。这些动态参数影响地下无电池传感器定位的精度。这封信提出了一种使用期望最大化算法的定位框架，将信号衰减系数视为潜在变量。使用地下传感器收集的数据评估所提出的解决方案。仿真结果表明，各种场景下均方根误差均在0.3 m左右。
Underground battery-free sensors do not require battery replacement that can support large-scale deployment for agriculture applications. The underground environment is dynamic, and the soil permittivity and electric conductivity vary significantly due to precipitation and irrigation. These dynamic parameters affect the accuracy of underground battery-free sensor localization. This letter proposes a localization framework using the expectation–maximization algorithm by considering the signal attenuation coefficient as a latent variable. The proposed solution is evaluated using data collected by underground sensors. Simulation results show that the root mean square error is around 0.3 m in various scenarios.