Real time IoT mobile anchor nodes outdoor localization mechanism

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI:10.2478/ijssis-2022-0012

M. Zorkany, Emad Abd-Elrahman, G. Fahmy

引用次数: 1

Abstract

Abstract Recently, most outdoor localizations use a hybrid mechanism that integrating some IoT devices occupying with GPS (Anchor Nodes) and other wireless sensor nodes like LoRaWAN (without GPS-Unknown node). This hybrid method employed to achieve low power consumption and low cost solution. Our proposed framework focuses on determining the Mobile Anchor node locations with high accuracy to enhance the overall accuracy of all IoT nodes. To achieve this goal, the installation of low power consummations and low-cost localization sensors modules will be used in the proposed Anchor IoT node. These modules are the inertial measuring unit (IMU) and the low cost Global Positioning System (GPS). Then, this method will be implemented on AVR microcontroller (ATMega 128) to develop an IoT enhanced localization unit. The achieved results for our proposal show how the IoT device's state can be known accurately and at a high update rate (100 Hz, 10 milliseconds).

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实时物联网移动锚点户外定位机制

摘要最近，大多数户外定位使用一种混合机制，将一些物联网设备与GPS（锚节点）和其他无线传感器节点（如LoRaWAN（没有GPS未知节点））集成在一起。采用这种混合方式实现了低功耗、低成本的解决方案。我们提出的框架侧重于高精度地确定移动锚点节点的位置，以提高所有物联网节点的整体准确性。为了实现这一目标，将在拟议的锚物联网节点中使用低功耗完善和低成本定位传感器模块的安装。这些模块是惯性测量单元（IMU）和低成本全球定位系统（GPS）。然后，该方法将在AVR微控制器（ATMega128）上实现，以开发物联网增强定位单元。我们的提案所取得的结果表明，物联网设备的状态是如何以高更新率（100 Hz，10毫秒）准确获知的。

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

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