Abstract

This work was supported in part by the School of Engineering and Sciences, Tecnologico de Monterrey, in part by the Xunta de Galicia under Grant ED431G2019/01, in part by the Agencia Estatal de Investigacion of Spain under Grant TEC2016-75067-C4-1-R, Grant RED2018-102668-T, and Grant PID2019-104958RB-C42, in part by the European Regional Development Fund (ERDF) funds of the European Union (EU) (AEI/FEDER, UE), and in part by the Ministerio de Ciencia, Innovacion y Universidades, Gobierno de Espana (MCI-U/AEI/FEDER,UE) under Grant RTI2018-095499-B-C31.

Highlights

  • The Internet of Things (IoT) enables the development of wireless sensor networks (WSNs) for making transportationThe associate editor coordinating the review of this manuscript and approving it for publication was Ding Xu .safer and more efficient within the context of intelligent transportation systems (ITSs) and smart cities

  • It is worth mentioning the work in [25] and [26]: the former paper describes a theoretical design for an IoT-enabled fog computing-based SP, while the latter proposes a low-cost smart parking system based on Arduino nodes that was devised having the Nigerian market in mind

  • For this article, a parking lot located in Monterrey (Mexico) was analyzed and modeled in 3D in order to evaluate through a 3D-Ray Launching (3D-RL) tool its wireless channel properties

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Summary

INTRODUCTION

The Internet of Things (IoT) enables the development of wireless sensor networks (WSNs) for making transportation. The authors focused on improving vehicle position accuracy on the parking lot, which, in the selected experimental scenario, reached 99.1% thanks to the use of machine learning techniques that processed the Received Signal Strength Indicator (RSSI) from Bluetooth Low Energy (BLE) beacons deployed in a parking lot It is worth mentioning the work in [25] and [26]: the former paper describes a theoretical design for an IoT-enabled fog computing-based SP, while the latter proposes a low-cost smart parking system based on Arduino nodes that was devised having the Nigerian market in mind. The performance of the system is evaluated under different conditions of computational load and traffic

SCENARIO CHARACTERIZATION
IMPLEMENTATION
EXPERIMENTS
OrbitDB INSERTION OPERATIONS
ANALYSIS OF THE TOTAL LATENCY
Findings
CONCLUSIONS
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