Abstract

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.

Highlights

  • One of the most common activities of a driver in a city, is to find a parking space

  • This work presents the implementation of a smart parking architecture that solves some of the

  • This work presents the implementation of a smart parking architecture that solves some of the problems of today’s big city

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Summary

Introduction

One of the most common activities of a driver in a city, is to find a parking space. Finding a parking space turns difficult when a driver is not familiar with the city or when the city has vehicular congestion. In terms of backend infrastructure, some smart parking solutions use open-source software elements such as Message Queuing Telemetry Transport (MQTT) for exchanging information [12]. This work reviewed several deployments, proposed and built an architecture based on Libelium smart parking sensors, LoRaWAN and open-source technologies for the backend like a cluster of Kubernetes with MQTT and MongoDB. This combination intends to provide high availability, scalability and portability to a smart parking system Likewise, this architecture aims to provide a base guide for building this type of solutions by considering the use of specific purpose sensors, adequate low-power and long-range communication protocols and a clustered backend infrastructure. The main contribution of this work is to provide a base architecture for building smart parking systems by considering all elements that could be connected by using several technology components.

Related Works
Detailed
Analysis of Works Based on Sensors
Analysis of Works That Emphasize Communication Protocols
Analysis of Works That Focus on Backend Solutions
Proposed Solution
Environment
Backend
REST API
User Interface
Results
16. Rabbit
Conclusions
Full Text
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