A Novel Hybrid OCC/RF Architecture for IoT-Based Smart Farming

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jose Martin Luna-Rivera;Carlos A. Hernández-Morales;Vicente Matus;Jose Rabadan;Julio Rufo;Victor Guerra;Rafael Perez-Jimenez
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Abstract

The incorporation of Internet of Things (IoT) in agriculture promises to revolutionize farming, enhance productivity, and contribute to sustainable food production. This article introduces a novel IoT framework integrating optical camera communication (OCC) and radio frequency (RF) for advanced farming. OCC emerges as an efficient technology for wireless sensor networks, particularly where low power consumption, cost-effectiveness, and noncritical transmission rates are prioritized. Our innovative design effectively combines the strengths of both OCC and RF, setting the stage for cost-effective IoT solutions in farming. Validated through extensive experiments, this hybrid network demonstrates not only efficiency and flexibility but also its capability for rapid deployment across various conditions. The system uses unidirectional communications, where sensors periodically emit data without the need for polling or network access protocols, reducing the need for complex circuits and lowering power consumption. Remarkably, it achieved robust communication over 90 m with a 94% data recovery rate in diverse conditions, indicating a reliability of over 99.83%, supported by a theoretical BER of $1.7 \times 10^{-3}$ . This approach offers agile, affordable monitoring and is farmer-friendly. Notably, the flexibility of the OCC/RF combination addresses diverse farming needs. Our findings highlight the system’s capacity to accurately gather environmental data, enhancing user experience. The subpixel OCC feature supports scalability across large areas like crop fields, meeting dynamic agricultural needs. Overall, the integration of OCC and RF, bolstered by subpixel technology, marks a significant advancement in agricultural IoT applications.
基于物联网的智能农业的新型混合OCC/RF架构
将物联网(IoT)纳入农业有望彻底改变农业,提高生产力,并为可持续粮食生产做出贡献。本文介绍了一种集成光学相机通信(OCC)和射频(RF)的新型物联网框架,用于先进农业。OCC是无线传感器网络的一种高效技术,特别是在低功耗、低成本和非关键传输速率优先的情况下。我们的创新设计有效地结合了OCC和RF的优势,为农业中具有成本效益的物联网解决方案奠定了基础。经过大量实验验证,该混合网络不仅具有效率和灵活性,而且具有在各种条件下快速部署的能力。该系统使用单向通信,其中传感器周期性地发射数据,而不需要轮询或网络访问协议,从而减少了对复杂电路的需求并降低了功耗。值得注意的是,它在不同条件下实现了超过90米的鲁棒通信,数据恢复率为94%,表明可靠性超过99.83%,理论误码率为1.7 \乘以10^{-3}$。这种方法提供了灵活、负担得起的监测,并且对农民友好。值得注意的是,OCC/RF组合的灵活性满足了不同的农业需求。我们的发现突出了该系统准确收集环境数据的能力,增强了用户体验。亚像素OCC功能支持跨农田等大面积的可扩展性,满足动态农业需求。总体而言,OCC和RF的集成,在亚像素技术的支持下,标志着农业物联网应用的重大进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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