现实森林环境中路径损失传播模型的经验研究

G. Hakim, M. Alaydrus, Rizal Broer Bahaweres
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引用次数: 7

摘要

采用无线传输数据的物联网(IoT)应用程序(如无线传感器节点)需要设计得足够好,以便其数据在节点之间的传输中不会丢失。因此,构建诸如无线传感器节点等物联网应用的路径损耗传播模型是必须的。本文提出了一种新的路径损耗模型,用于森林环境下近地2.4 GHz无线传感器节点网络。我们的方法是使用微控制器Wemos等物联网节点之一进行行走测试,然后每隔5米捕获RSSI水平的统计数据,并将其与模拟进行比较。与其他模型和65米测量值相比,我们提出的新模型在高草大于30cm的森林环境下的结果较好,约为2.01 dB,低草小于10cm的森林环境下的结果为0.69 dB,无草的森林环境下的结果为0.26 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical approach of ad hoc path loss propagation model in realistic forest environments
An Internet of Things (IoT) application that employs wireless transmission data such as Wireless Sensor Node need to be designed well enough, So its data doesn't loss in its transmission between the node. Therefore to build an IoT application such as Wireless Sensor Node path loss propagation model is a must. In this paper, we proposed a new path loss model to be used on a near ground 2.4 GHz Wireless Sensor Node network in forest environment application. Our methods are using one of IoT node such as Microcontroller Wemos to do walk test and then capture statistical data the RSSI level every 5 meters and compare it to the simulation. Our new proposed model has a better result for forest environment at about 2.01 dB forest with High grass more than 30cm, 0.69 dB low grasses less than 10cm, and 0.26 dB without grass compare with other model and compare to the measurement at 65 meters.
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