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Network based sensor localization in multi-media application of precision agriculture Part 1: Received signal strength

机译: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

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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.
机译:我们研究了部署在精密农业农场中的混合无线传感器网络的传感器节点定位问题,该节点位于地下和地面上。为了测距目的,我们考虑从相邻传感器节点之间以及卫星节点和传感器节点之间传输的未调制信号接收到的信号强度测量结果。虽然本文基于接收信号强度的测量来研究放置在多种介质中的传感器的基于网络的定位,但在随附的论文中,我们基于到达时间的测量来研究相同的问题。定位问题的提出是为了对测距测量的联合分布进行参数估计。首先,我们针对网络中的两种通信场景建立了功率衰减模型,以根据传播距离以及参与节点的位置坐标对接收到的信号强度进行建模。我们考虑了各种信号衰减效应,例如衰落,反射,传输和信号干扰。然后,我们使用导出的统计模型制定最大似然优化问题,以估计节点的位置坐标。我们还提出了关于土壤复介电常数和磁导率估计值的敏感性分析。

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