• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

遗传算法优化 IEEE 802.15.4 马铃薯和小麦作物监测基础设施中的节点部署。

Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure.

机构信息

Indian Institute of Technology, Indian School of Mines (IIT-ISM), Dhanbad, Jharkhand, 826004, India.

出版信息

Sci Rep. 2021 Apr 15;11(1):8231. doi: 10.1038/s41598-021-86462-1.

DOI:10.1038/s41598-021-86462-1
PMID:33859208
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8050060/
Abstract

This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

摘要

本提案研究了在 IEEE 802.15.4 无线标准下,两个传感器节点之间的通信中植被高度和密度对接收信号强度的影响。为了研究 2.4GHz 无线电信号在 IEEE 802.15.4 精确农业监测基础设施中的路径损耗系数,在马铃薯和小麦作物的不同生长阶段进行了测量活动。实验观察表明,由于信号衰减增加,初始节点在小麦作物中的部署会导致网络中断,这是由于在灌浆期和物理成熟期小麦植被高度和密度的增加造成的。制定了一个基于经验测量的路径损耗模型来确定不同作物生长阶段的接收信号强度。此外,还进行了 NSGA-II 多目标进化计算,以生成初始节点部署,并针对增加的覆盖范围、减少的过度覆盖范围和接收信号强度进行优化。结果表明,为小麦作物监测开发了一种可靠的无线传感器网络基础设施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/2914aaab80d0/41598_2021_86462_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/dda6bd91d63f/41598_2021_86462_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/b31d66a7b585/41598_2021_86462_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/9f4e6ca7ce27/41598_2021_86462_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/c7a475277b8f/41598_2021_86462_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/2914aaab80d0/41598_2021_86462_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/dda6bd91d63f/41598_2021_86462_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/b31d66a7b585/41598_2021_86462_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/9f4e6ca7ce27/41598_2021_86462_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/c7a475277b8f/41598_2021_86462_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110c/8050060/2914aaab80d0/41598_2021_86462_Fig5_HTML.jpg

相似文献

1
Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure.遗传算法优化 IEEE 802.15.4 马铃薯和小麦作物监测基础设施中的节点部署。
Sci Rep. 2021 Apr 15;11(1):8231. doi: 10.1038/s41598-021-86462-1.
2
Algorithm for wireless sensor networks in ginseng field in precision agriculture.精准农业中人参种植无线传感器网络算法。
PLoS One. 2022 Feb 7;17(2):e0263401. doi: 10.1371/journal.pone.0263401. eCollection 2022.
3
A wireless sensor network for vineyard monitoring that uses image processing.基于图像处理的葡萄园监测用无线传感器网络。
Sensors (Basel). 2011;11(6):6165-96. doi: 10.3390/s110606165. Epub 2011 Jun 7.
4
Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis.利用便携式三波段仪器监测小麦生长情况,用于作物生长监测和诊断。
Sensors (Basel). 2020 May 20;20(10):2894. doi: 10.3390/s20102894.
5
Development of a wireless computer vision instrument to detect biotic stress in wheat.一种用于检测小麦生物胁迫的无线计算机视觉仪器的研发。
Sensors (Basel). 2014 Sep 23;14(9):17753-69. doi: 10.3390/s140917753.
6
Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions.利用正则化回归建立温室内部存在植被时的电波传播经验模型。
Sensors (Basel). 2020 Nov 19;20(22):6621. doi: 10.3390/s20226621.
7
Resistance Genes in Global Crop Breeding Networks.全球作物育种网络中的抗性基因
Phytopathology. 2017 Oct;107(10):1268-1278. doi: 10.1094/PHYTO-03-17-0082-FI. Epub 2017 Aug 31.
8
Study on an agricultural environment monitoring server system using Wireless Sensor Networks.基于无线传感器网络的农业环境监测服务器系统的研究。
Sensors (Basel). 2010;10(12):11189-211. doi: 10.3390/s101211189. Epub 2010 Dec 8.
9
Deployment Strategies of Soil Monitoring WSN for Precision Agriculture Irrigation Scheduling in Rural Areas.农村精准农业灌溉调度土壤监测 WSN 的部署策略。
Sensors (Basel). 2021 Mar 1;21(5):1693. doi: 10.3390/s21051693.
10
Precision Agriculture Techniques and Practices: From Considerations to Applications.精准农业技术与实践:从考量到应用。
Sensors (Basel). 2019 Sep 2;19(17):3796. doi: 10.3390/s19173796.

本文引用的文献

1
A Radio Channel Model for D2D Communications Blocked by Single Trees in Forest Environments.一种用于森林环境中被单棵树阻挡的 D2D 通信的无线电通道模型。
Sensors (Basel). 2019 Oct 23;19(21):4606. doi: 10.3390/s19214606.
2
Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse.利用线性和三次回归在经典番茄温室中确定路径损耗。
Int J Environ Res Public Health. 2019 May 17;16(10):1744. doi: 10.3390/ijerph16101744.
3
A Study of Sensor Placement Optimization Problem for Guided Wave-Based Damage Detection.
基于导波的损伤检测中传感器布置优化问题的研究
Sensors (Basel). 2019 Apr 18;19(8):1856. doi: 10.3390/s19081856.
4
Link Investigation of IEEE 802.15.4 Wireless Sensor Networks in Forests.森林中IEEE 802.15.4无线传感器网络的链路研究
Sensors (Basel). 2016 Jun 27;16(7):987. doi: 10.3390/s16070987.