Network based sensor localization in multi-media application of precision agriculture Part 1: Received signal strength
Network based sensor localization in multi-media application of precision agriculture Part 1: Received signal strength
复制标题
精准农业多媒体应用中基于网络的传感器定位第1部分：接收信号强度
DOI：
10.1109/icnsc.2014.6819624
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Ratnesh Kumar
中科院分区：
文献类型：
--
作者：
Herman Sahota;Ratnesh Kumar
研究了一种混合无线传感器网络的传感器节点定位问题，该网络部署在一个精准农业农场中，节点位于地下和地上。我们认为，从相邻的传感器节点之间传输的未调制信号和卫星节点和传感器节点之间的测距目的的接收信号强度测量。虽然本文研究了基于网络的传感器定位，放置在多个媒体中，基于接收信号强度的测量，在配套文件中，我们研究了相同的问题，基于到达时间测量。定位问题制定的目标是参数估计的联合分布的测距测量。首先，我们在我们的网络中的两个通信场景的功率衰落模型到达模型的传播距离，因此，参与节点的位置坐标方面的接收信号强度。我们占各种信号退化的影响，如衰落，反射，传输和信号干扰。然后，我们制定了最大似然优化问题，估计节点的位置坐标使用导出的统计模型。我们还提出了一个敏感性分析的估计土壤复介电常数和磁导率。
We study the problem of sensor node localization for a hybrid wireless sensor network deployed in a precision agriculture farm, with nodes located both underground and above-ground. We consider received signal strength measurements from unmodulated signals transmitted between neighboring sensor nodes and between satellite nodes and sensor nodes for ranging purposes. While this paper studies the network based localization of sensors, placed in multiple media, based on the measurements of received signal strengths, in a companion paper we study the same problem based on the time of arrival measurements. The localization problem is formulated with the goal of parameter estimation of the joint distribution of the ranging measurements. First, we arrive at power fading models for the two communication scenarios in our network to model the received signal strength in terms of propagation distance and hence, the participating nodes' location coordinates. We account for various signal degradation effects such as fading, reflection, transmission, and signal interference. Then, we formulate maximum likelihood optimization problems to estimate the nodes' location coordinates using the derived statistical models. We also present a sensitivity analysis of the estimates with respect to the soil complex permittivity and magnetic permeability.