生猪养殖场无线传感器网络路径损耗模型的建立与验证

研究无线信号在生猪养殖环境中的传播特性,可以对无线传感器网络的路径损耗进行预测,从而为网络的部署奠定基础。研究采用ZigBee无线传感网络技术,通过在生猪养殖场中实际测试了有障碍物情况下,无线信号的丢包率和接收信号的功率强度,进而得出路径损耗值,以及障碍物的衰减因子,并进行了回归分析。研究表明,墙体衰减因子随墙壁数量增加而增大,植株衰减因子随天线架设高度升高而减小。最终模型的路径损耗参数为2.02,路径损耗的基础损耗为63.602,以混凝土墙为障碍物时,其衰减因子大小为2.64。将障碍物的衰减因子综合添加在经验模型中,可以有效的预测路径损耗值。...

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Bibliographic Details
Published in农业工程学报 Vol. 33; no. 2; pp. 205 - 212
Main Author 朱虹 李爽 郑丽敏 杨璐
Format Journal Article
LanguageChinese
Published 中国农业大学信息与电气工程学院北京 100083%中国农业大学信息与电气工程学院北京 100083 2017
中国农业大学食品质量与安全北京实验室，北京 100083
Subjects
RSSI
无线传感器网络
模型
猪场
生猪养殖
路径损耗
RSSI
models
pig breeding
路径损耗
farms
模型
wireless sensor networks (WSN)
无线传感器网络
path loss
received signal strength indicator (RSSI)
猪场
生猪养殖
Online AccessGet full text
ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2017.02.028

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Summary:研究无线信号在生猪养殖环境中的传播特性,可以对无线传感器网络的路径损耗进行预测,从而为网络的部署奠定基础。研究采用ZigBee无线传感网络技术,通过在生猪养殖场中实际测试了有障碍物情况下,无线信号的丢包率和接收信号的功率强度,进而得出路径损耗值,以及障碍物的衰减因子,并进行了回归分析。研究表明,墙体衰减因子随墙壁数量增加而增大,植株衰减因子随天线架设高度升高而减小。最终模型的路径损耗参数为2.02,路径损耗的基础损耗为63.602,以混凝土墙为障碍物时,其衰减因子大小为2.64。将障碍物的衰减因子综合添加在经验模型中,可以有效的预测路径损耗值。
Bibliography:11-2047/S
In order to build a path loss model and optimize the deployment of Zig Bee nodes, in this study, how the characteristic affecting the wireless signal propagation in pig farm environment is evaluated. The research is based on Zig Bee wireless sensor network technology. Depend on the environment of pig farm, we consider piggery wall and plant growing between piggeries as the two mainly barriers which affect the wireless signal propagation greatly. During the research, packet loss rate（PLR） of wireless signal and received signal strength indicator（RSSI） are the most important parameters being used to evaluate transmission characteristics. We chose direct ray model as the basic path loss model and designed three groups of experiment to measure the parameters used in the model. Firstly, we tested RSSI value changed with the distance between transmitter and receiver in the case of no obstacle for 12 times. Based on the data obtained by regression analysis, the path loss exponent value was 2.02 and the corr
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2017.02.028