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Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility

Received: 19 March 2017     Accepted: 5 April 2017     Published: 24 April 2017
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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.

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

Keywords

Intelligent Systems Transport (IST), Smart Cities, Urban Traffic, Wireless Sensor Networks (WSNs), Energy Saving, Lifetime of Wireless Sensor, Simulator Urban Mobility (SUMO)

References
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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

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    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

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    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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  • @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}
    }
    

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  • 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
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    AU  - Hassan Oudani
    AU  - Kaoutar Bendaoud
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    AU  - Hicham El Bousty
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    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
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    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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Author Information
  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

  • Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Ouarzazate, Morocco

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