支持物联网的传感器节点:教程论文

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2020-01-01 DOI:10.21307/ijssis-2020-022

Alice James, Avishkar Seth, S. Mukhopadhyay

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引用次数: 11

摘要

摘要本文介绍了为物联网（IoT）应用开发智能传感器节点的描述性指南。低功耗广域网（LPWAN）在广域上以低功耗传输数据的当前技术已在本项目的范围内进行了说明。物联网设备从有限范围的个人局域网到广域网的过渡概述是合理的。已经开发并测试了传感器节点，以验证LoRa网络的实现，该网络可以作为各种应用的传感器节点的示例。

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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IoT enabled sensor node: a tutorial paper

Abstract A descriptive guide to develop smart sensor nodes for Internet of Things (IoT) application has been presented in the paper. The current technology of low-power wide area network (LPWAN) which transmits data with low power consumption over a wide area has been illustrated in the scope of this project. An overview of the transition of IoT devices from a limited range personal area network to wide area network is justified. A sensor node has been developed and tested to validate the implementation of a LoRa network, which can be an exemplar for sensor nodes for various applications.

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity