From now to 2030, the world urban mobility will increase by 50%. This increase will be mainly performed in developing countries which already suffer from congestion traffic especially in large cities where road traffic reaches a high density. This situation leads to a serious impact on the economic and social growth. The urban traffic management has become an essential factor. Within the framework of a Moroccan city like Casablanca (1.5 million vehicles a day run there ), an efficient road traffic management turns to be necessary so as to solve the serious problem of traffic jams and to decrease the problem of traffic jams and improve the fluidity of the road traffic. We are settling intelligent systems transport (IST) such as the case of smart cities. The traffic simulation is a better way to evaluate a road traffic network. The latter is simulated by using two simulators, Green Light district (GLD) and Simulator Urban Mobility (SUMO). We have been working with an Open Street Map in the SUMO traffic, in order to get closer to reality. This study describes a low cost and energy saving urban monitoring mobility system based on wireless sensor networks (WSNs ). Simulation results show that our suggested algorithm is efficacious and practical in different cases; it could reduce the number of packages sent from each sensor placed on the track. This proposed solution provides the sensor networks with a longer lifetime of sensor networks:by reducing its energy consumption.
| Published in | International Journal of Sensors and Sensor Networks (Volume 5, Issue 1) |
| DOI | 10.11648/j.ijssn.20170501.12 |
| Page(s) | 14-21 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Intelligent Systems Transport (IST), Smart Cities, Urban Traffic, Wireless Sensor Networks (WSNs), Energy Saving, Lifetime of Wireless Sensor, Simulator Urban Mobility (SUMO)
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APA Style
Mustapha Kabrane, Salah-Ddine Krit, Lahoucine El Maimouni, Hassan Oudani, Kaoutar Bendaoud, et al. (2017). Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility. International Journal of Sensors and Sensor Networks, 5(1), 14-21. https://doi.org/10.11648/j.ijssn.20170501.12
ACS Style
Mustapha Kabrane; Salah-Ddine Krit; Lahoucine El Maimouni; Hassan Oudani; Kaoutar Bendaoud, et al. Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility. Int. J. Sens. Sens. Netw. 2017, 5(1), 14-21. doi: 10.11648/j.ijssn.20170501.12
AMA Style
Mustapha Kabrane, Salah-Ddine Krit, Lahoucine El Maimouni, Hassan Oudani, Kaoutar Bendaoud, et al. Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility. Int J Sens Sens Netw. 2017;5(1):14-21. doi: 10.11648/j.ijssn.20170501.12
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Download@article{10.11648/j.ijssn.20170501.12,
author = {Mustapha Kabrane and Salah-Ddine Krit and Lahoucine El Maimouni and Hassan Oudani and Kaoutar Bendaoud and Mohamed Elasikri and Khaoula Karimi and Hicham El Bousty},
title = {Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility},
journal = {International Journal of Sensors and Sensor Networks},
volume = {5},
number = {1},
pages = {14-21},
doi = {10.11648/j.ijssn.20170501.12},
url = {https://doi.org/10.11648/j.ijssn.20170501.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20170501.12},
abstract = {From now to 2030, the world urban mobility will increase by 50%. This increase will be mainly performed in developing countries which already suffer from congestion traffic especially in large cities where road traffic reaches a high density. This situation leads to a serious impact on the economic and social growth. The urban traffic management has become an essential factor. Within the framework of a Moroccan city like Casablanca (1.5 million vehicles a day run there ), an efficient road traffic management turns to be necessary so as to solve the serious problem of traffic jams and to decrease the problem of traffic jams and improve the fluidity of the road traffic. We are settling intelligent systems transport (IST) such as the case of smart cities. The traffic simulation is a better way to evaluate a road traffic network. The latter is simulated by using two simulators, Green Light district (GLD) and Simulator Urban Mobility (SUMO). We have been working with an Open Street Map in the SUMO traffic, in order to get closer to reality. This study describes a low cost and energy saving urban monitoring mobility system based on wireless sensor networks (WSNs ). Simulation results show that our suggested algorithm is efficacious and practical in different cases; it could reduce the number of packages sent from each sensor placed on the track. This proposed solution provides the sensor networks with a longer lifetime of sensor networks:by reducing its energy consumption.},
year = {2017}
}
TY - JOUR T1 - Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility AU - Mustapha Kabrane AU - Salah-Ddine Krit AU - Lahoucine El Maimouni AU - Hassan Oudani AU - Kaoutar Bendaoud AU - Mohamed Elasikri AU - Khaoula Karimi AU - Hicham El Bousty Y1 - 2017/04/24 PY - 2017 N1 - https://doi.org/10.11648/j.ijssn.20170501.12 DO - 10.11648/j.ijssn.20170501.12 T2 - International Journal of Sensors and Sensor Networks JF - International Journal of Sensors and Sensor Networks JO - International Journal of Sensors and Sensor Networks SP - 14 EP - 21 PB - Science Publishing Group SN - 2329-1788 UR - https://doi.org/10.11648/j.ijssn.20170501.12 AB - From now to 2030, the world urban mobility will increase by 50%. This increase will be mainly performed in developing countries which already suffer from congestion traffic especially in large cities where road traffic reaches a high density. This situation leads to a serious impact on the economic and social growth. The urban traffic management has become an essential factor. Within the framework of a Moroccan city like Casablanca (1.5 million vehicles a day run there ), an efficient road traffic management turns to be necessary so as to solve the serious problem of traffic jams and to decrease the problem of traffic jams and improve the fluidity of the road traffic. We are settling intelligent systems transport (IST) such as the case of smart cities. The traffic simulation is a better way to evaluate a road traffic network. The latter is simulated by using two simulators, Green Light district (GLD) and Simulator Urban Mobility (SUMO). We have been working with an Open Street Map in the SUMO traffic, in order to get closer to reality. This study describes a low cost and energy saving urban monitoring mobility system based on wireless sensor networks (WSNs ). Simulation results show that our suggested algorithm is efficacious and practical in different cases; it could reduce the number of packages sent from each sensor placed on the track. This proposed solution provides the sensor networks with a longer lifetime of sensor networks:by reducing its energy consumption. VL - 5 IS - 1 ER -
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