用于农业 4.0 的 LoRa 通信:机遇、挑战和未来方向

Lameya Aldhaheri, Noor Alshehhi, Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Shumaila Javaid, Nasir Saeed, Mohamed-Slim Alouini
{"title":"用于农业 4.0 的 LoRa 通信:机遇、挑战和未来方向","authors":"Lameya Aldhaheri, Noor Alshehhi, Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Shumaila Javaid, Nasir Saeed, Mohamed-Slim Alouini","doi":"arxiv-2409.11200","DOIUrl":null,"url":null,"abstract":"The emerging field of smart agriculture leverages the Internet of Things\n(IoT) to revolutionize farming practices. This paper investigates the\ntransformative potential of Long Range (LoRa) technology as a key enabler of\nlong-range wireless communication for agricultural IoT systems. By reviewing\nexisting literature, we identify a gap in research specifically focused on\nLoRa's prospects and challenges from a communication perspective in smart\nagriculture. We delve into the details of LoRa-based agricultural networks,\ncovering network architecture design, Physical Layer (PHY) considerations\ntailored to the agricultural environment, and channel modeling techniques that\naccount for soil characteristics. The paper further explores relaying and\nrouting mechanisms that address the challenges of extending network coverage\nand optimizing data transmission in vast agricultural landscapes. Transitioning\nto practical aspects, we discuss sensor deployment strategies and energy\nmanagement techniques, offering insights for real-world deployments. A\ncomparative analysis of LoRa with other wireless communication technologies\nemployed in agricultural IoT applications highlights its strengths and\nweaknesses in this context. Furthermore, the paper outlines several future\nresearch directions to leverage the potential of LoRa-based agriculture 4.0.\nThese include advancements in channel modeling for diverse farming\nenvironments, novel relay routing algorithms, integrating emerging sensor\ntechnologies like hyper-spectral imaging and drone-based sensing, on-device\nArtificial Intelligence (AI) models, and sustainable solutions. This survey can\nguide researchers, technologists, and practitioners to understand, implement,\nand propel smart agriculture initiatives using LoRa technology.","PeriodicalId":501280,"journal":{"name":"arXiv - CS - Networking and Internet Architecture","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions\",\"authors\":\"Lameya Aldhaheri, Noor Alshehhi, Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Shumaila Javaid, Nasir Saeed, Mohamed-Slim Alouini\",\"doi\":\"arxiv-2409.11200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emerging field of smart agriculture leverages the Internet of Things\\n(IoT) to revolutionize farming practices. This paper investigates the\\ntransformative potential of Long Range (LoRa) technology as a key enabler of\\nlong-range wireless communication for agricultural IoT systems. By reviewing\\nexisting literature, we identify a gap in research specifically focused on\\nLoRa's prospects and challenges from a communication perspective in smart\\nagriculture. We delve into the details of LoRa-based agricultural networks,\\ncovering network architecture design, Physical Layer (PHY) considerations\\ntailored to the agricultural environment, and channel modeling techniques that\\naccount for soil characteristics. The paper further explores relaying and\\nrouting mechanisms that address the challenges of extending network coverage\\nand optimizing data transmission in vast agricultural landscapes. Transitioning\\nto practical aspects, we discuss sensor deployment strategies and energy\\nmanagement techniques, offering insights for real-world deployments. A\\ncomparative analysis of LoRa with other wireless communication technologies\\nemployed in agricultural IoT applications highlights its strengths and\\nweaknesses in this context. Furthermore, the paper outlines several future\\nresearch directions to leverage the potential of LoRa-based agriculture 4.0.\\nThese include advancements in channel modeling for diverse farming\\nenvironments, novel relay routing algorithms, integrating emerging sensor\\ntechnologies like hyper-spectral imaging and drone-based sensing, on-device\\nArtificial Intelligence (AI) models, and sustainable solutions. This survey can\\nguide researchers, technologists, and practitioners to understand, implement,\\nand propel smart agriculture initiatives using LoRa technology.\",\"PeriodicalId\":501280,\"journal\":{\"name\":\"arXiv - CS - Networking and Internet Architecture\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Networking and Internet Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Networking and Internet Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

新兴的智能农业领域利用物联网(IoT)彻底改变了耕作方式。本文研究了长距离(LoRa)技术作为农业物联网系统长距离无线通信的关键推动力所具有的变革潜力。通过回顾现有文献,我们发现了一个研究空白,即从智能农业的通信角度来看,LoRa 的前景和挑战是研究的重点。我们深入探讨了基于 LoRa 的农业网络的细节,包括网络架构设计、针对农业环境的物理层(PHY)考虑以及考虑土壤特性的信道建模技术。论文进一步探讨了中继和路由机制,以应对在广阔的农业景观中扩大网络覆盖和优化数据传输的挑战。在实际应用方面,我们讨论了传感器部署策略和能源管理技术,为现实世界的部署提供了启示。对 LoRa 与农业物联网应用中使用的其他无线通信技术进行了比较分析,突出了其在这方面的优势和劣势。此外,论文还概述了几项未来研究方向,以充分利用基于 LoRa 的农业 4.0 的潜力。这些方向包括针对不同农业环境的信道建模、新型中继路由算法、整合超光谱成像和无人机传感等新兴传感技术、设备上人工智能 (AI) 模型以及可持续解决方案等方面的进步。本调查报告可引导研究人员、技术人员和从业人员了解、实施和推动使用 LoRa 技术的智慧农业计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions
The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize farming practices. This paper investigates the transformative potential of Long Range (LoRa) technology as a key enabler of long-range wireless communication for agricultural IoT systems. By reviewing existing literature, we identify a gap in research specifically focused on LoRa's prospects and challenges from a communication perspective in smart agriculture. We delve into the details of LoRa-based agricultural networks, covering network architecture design, Physical Layer (PHY) considerations tailored to the agricultural environment, and channel modeling techniques that account for soil characteristics. The paper further explores relaying and routing mechanisms that address the challenges of extending network coverage and optimizing data transmission in vast agricultural landscapes. Transitioning to practical aspects, we discuss sensor deployment strategies and energy management techniques, offering insights for real-world deployments. A comparative analysis of LoRa with other wireless communication technologies employed in agricultural IoT applications highlights its strengths and weaknesses in this context. Furthermore, the paper outlines several future research directions to leverage the potential of LoRa-based agriculture 4.0. These include advancements in channel modeling for diverse farming environments, novel relay routing algorithms, integrating emerging sensor technologies like hyper-spectral imaging and drone-based sensing, on-device Artificial Intelligence (AI) models, and sustainable solutions. This survey can guide researchers, technologists, and practitioners to understand, implement, and propel smart agriculture initiatives using LoRa technology.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信