Smart Collection of Real-Time Vehicular Mobility Traces
Mobility trace techniques makes possible drawing the behaviors of real-life movement which shape wireless networks mobility whereabouts. In our investigation, several trace mobility models have been collected after the devices’ deployment. The main issue of this classical procedure is that...
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doaj-e06c306fa9394c06aeb66e07d7b213ca2020-11-25T01:40:45ZengMDPI AGFuture Internet1999-59032018-08-011087810.3390/fi10080078fi10080078Smart Collection of Real-Time Vehicular Mobility TracesNisrine Ibadah0Khalid Minaoui1Mohammed Rziza2Mohammed Oumsis3César Benavente-Peces4LRIT Laboratory, Associated Unit to CNRST (URAC 29), Rabat IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat 1014 RP, MoroccoLRIT Laboratory, Associated Unit to CNRST (URAC 29), Rabat IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat 1014 RP, MoroccoLRIT Laboratory, Associated Unit to CNRST (URAC 29), Rabat IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat 1014 RP, MoroccoLRIT Laboratory, Associated Unit to CNRST (URAC 29), Rabat IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat 1014 RP, MoroccoETS Ingeniería y Sistemas de Telecomunicación, Universidad Politécnica de Madria, Ctra Valencia, km 7, 28031 Madrid, SpainMobility trace techniques makes possible drawing the behaviors of real-life movement which shape wireless networks mobility whereabouts. In our investigation, several trace mobility models have been collected after the devices’ deployment. The main issue of this classical procedure is that it produces uncompleted records due to several unpredictable problems occurring during the deployment phase. In this paper, we propose a new procedure aimed at collecting traces while deployment phase failures are avoided, which improves the reliability of data. The introduced procedure makes possible the complete generation of traces with a minimum amount of damage without the need to recover mobile devices or lose them, as it is the case in previous mobility traces techniques. Based on detecting and correcting all accidental issues in real time, the proposed trace scanning offers a set of relevant information about the vehicle status which was collected during seven months. Furthermore, the proposed procedure could be applied to generate vehicular traces. Likewise, it is suitable to record/generate human and animal traces. The research outcomes demonstrate the effectiveness and robustness of the smart collection algorithm based on the proposed trace mobility model.http://www.mdpi.com/1999-5903/10/8/78vehicular tracemobility tracesMorocco tracestrackingGPS geolocalizationreal-time |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nisrine Ibadah Khalid Minaoui Mohammed Rziza Mohammed Oumsis César Benavente-Peces |
spellingShingle |
Nisrine Ibadah Khalid Minaoui Mohammed Rziza Mohammed Oumsis César Benavente-Peces Smart Collection of Real-Time Vehicular Mobility Traces Future Internet vehicular trace mobility traces Morocco traces tracking GPS geolocalization real-time |
author_facet |
Nisrine Ibadah Khalid Minaoui Mohammed Rziza Mohammed Oumsis César Benavente-Peces |
author_sort |
Nisrine Ibadah |
title |
Smart Collection of Real-Time Vehicular Mobility Traces |
title_short |
Smart Collection of Real-Time Vehicular Mobility Traces |
title_full |
Smart Collection of Real-Time Vehicular Mobility Traces |
title_fullStr |
Smart Collection of Real-Time Vehicular Mobility Traces |
title_full_unstemmed |
Smart Collection of Real-Time Vehicular Mobility Traces |
title_sort |
smart collection of real-time vehicular mobility traces |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2018-08-01 |
description |
Mobility trace techniques makes possible drawing the behaviors of real-life movement which shape wireless networks mobility whereabouts. In our investigation, several trace mobility models have been collected after the devices’ deployment. The main issue of this classical procedure is that it produces uncompleted records due to several unpredictable problems occurring during the deployment phase. In this paper, we propose a new procedure aimed at collecting traces while deployment phase failures are avoided, which improves the reliability of data. The introduced procedure makes possible the complete generation of traces with a minimum amount of damage without the need to recover mobile devices or lose them, as it is the case in previous mobility traces techniques. Based on detecting and correcting all accidental issues in real time, the proposed trace scanning offers a set of relevant information about the vehicle status which was collected during seven months. Furthermore, the proposed procedure could be applied to generate vehicular traces. Likewise, it is suitable to record/generate human and animal traces. The research outcomes demonstrate the effectiveness and robustness of the smart collection algorithm based on the proposed trace mobility model. |
topic |
vehicular trace mobility traces Morocco traces tracking GPS geolocalization real-time |
url |
http://www.mdpi.com/1999-5903/10/8/78 |
work_keys_str_mv |
AT nisrineibadah smartcollectionofrealtimevehicularmobilitytraces AT khalidminaoui smartcollectionofrealtimevehicularmobilitytraces AT mohammedrziza smartcollectionofrealtimevehicularmobilitytraces AT mohammedoumsis smartcollectionofrealtimevehicularmobilitytraces AT cesarbenaventepeces smartcollectionofrealtimevehicularmobilitytraces |
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