Effect of Vegetation Profile and Air Data Rate on Packet Loss Performance of LoRa E32-30dBm 433 MHz as a Wireless Data Transmission

Author:

Wiyadi Eri,Setiadi Rahmondia Nanda,Umar Lazuardi

Abstract

Abstract Internet of Things (IoT) communication network is currently one of the rapidly expanding uses a technology called the Long Range (LoRa) module using unlicensed industrial, scientific, and medical (ISM) radio frequencies. For sensor data transmission, the propagation depends on many parameters, such as transmit power, antenna, and vegetation obstacles on the propagation path. This work presents a 30 dBm LoRa E32-433T30D module of 433 MHz used for biosensor data transmission. LoRa performance testing was carried out in obstacle-dense areas (NLoS) of the Tempuling forest Riau that varies the distance parameters, and the programmable transmission speed (ADR) ranges from 1.2 Kbps to 9.2 Kbps. Results show that the higher the ADR value, the shorter the signal range, which is represented by the increase of the packet loss number. The highest ADR value is 19.2 Kbps signal coverage is only able to cover a distance of 1.4 Km with a data loss number of 86 %, while for 1.2 Kbps experiences a data loss of 20 % at a distance of 2 Km. The highest signal strength RSSI value was obtained at -67 dBm at a distance of 200 m and the lowest at -102 dBm at a distance of 2 Km. The decrease in RSSI value is caused by attenuation and signal interference from the obstacle height that exceeds the height of the antenna.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference21 articles.

1. A Study of LoRa: Long Range & Low Power Networks for the Internet of Things;Augustin;Sensors,2016

2. LoRa for the Internet of Things;Bor,2016

3. On the coverage of LPWANs: Range evaluation and channel attenuation model for LoRa technology;Petajajarvi,2015

4. Free space range measurement with Semtech LoRa technology;Aref,2014

5. A network performance analysis of LoRa modulation for LPWAN sensor devices;Transviña-Moreno,2016

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3