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A Smart Parking Solution Architecture Based on LoRaWAN and Kubernetes

التفاصيل البيبلوغرافية
العنوان: A Smart Parking Solution Architecture Based on LoRaWAN and Kubernetes
المؤلفون: Jhonattan J. Barriga, Juan Sulca, José León, Alejandro Ulloa, Diego Portero, José García, Sang Guun Yoo
المصدر: Applied Sciences, Vol 10, Iss 13, p 4674 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: IoT, smart parking, architecture, LoRaWAN, Kubernetes, MQTT, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Finding a parking space in a city is one of the most common activities of a driver. This becomes more difficult when the city is unknown or has huge vehicular congestion. A solution to address this issue is called smart parking. Smart parking solutions rely on Internet of Things (IoT) and several technologies to achieve their purpose. This paper proposes an architecture for deploying a smart parking solution based on Long-Range Wide Area Network (LoRaWAN) sensors, LoRaWAN and a cluster of Kubernetes. This approach provides an open architecture able to share information with other parties through a REST API interface. Likewise, it contains a mobile and a web application for user interaction. This solution provides an administration interface for managing parking lots. The user interface lets a user to find, view information, display available spaces and rate a parking lot in real time. This solution could be used as an application as service parking system. The proposed architecture is fully portable and scalable due to the use of Kubernetes.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/10/13/4674; https://doaj.org/toc/2076-3417
DOI: 10.3390/app10134674
URL الوصول: https://doaj.org/article/52168d3cb38248a1ad881014274a3d9c
رقم الأكسشن: edsdoj.52168d3cb38248a1ad881014274a3d9c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app10134674