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Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing

Received: 22 March 2017     Accepted: 7 April 2017     Published: 13 May 2017
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Abstract

In wireless sensor networks, the energy consumed by each node of the network influences the lifetime of the networks, more than the consumption of energy increases more than the lifetime of the networks decreases, this is why the increase of the lifetime of the networks requires a strategy (protocol) which reduces the power consumption of the transmission or reception of data by the sensor nodes. In recent years much research has been done to maximize a life time of network sensor. To deal with this, the hierarchical protocols (Cluster based-approach, chain based-approach) have been developed in order to reduce the network traffic toward the sink and therefore prolong the network lifetime. In this paper, the focus is mainly driven over the survey of the energy-efficient using hierarchical cluster-based approach namely LEACH (Low Energy Adaptive Clustering Hierarchy Protocol), in order to propose a new method to maximize more the life time of network sensor. Our method is to conserve energy consumption when transmitting data to the Base Station (BS). We evaluated the performance of the LEACH protocol with our proposed method simulated, the results of our method are demonstrated by the simulation results using Matlab Simulink.

Published in International Journal of Sensors and Sensor Networks (Volume 5, Issue 5-1)

This article belongs to the Special Issue Smart Cities Using a Wireless Sensor Networks

DOI 10.11648/j.ijssn.s.2017050501.12
Page(s) 6-12
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

Network Sensor, Hierarchical Protocols, LEACH, Energy-Efficient, Cluster Based-Approach, Matlab

References
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[2] Hassan Oudani,Salahddine Krit,Lahoucine Elmaimouni and Jalal Laassiri, (2016, September)”Comparative Study and Simulation of Flat and Hierarchical Routing Protocols for Wireless Sensor Network”, International Conference In Engineering & MIS (ICEMIS), IEEE, (pp. 1-9).
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[6] Jong-Shin Chen.“Efficient Cluster Head Selection Methods for Wireless Sensor Networks”. Journal of Networks, Vol.5, No.8, AUGUST 2010.
[7] C. Li, H. Zhang, B. Hao and J. Li, “A Survey on Routing Protocols for Large-Scale Wireless Sensor Networks,” Sensors, Vol. 11, No. 4, 2011, pp. 3498-3526.
[8] Al-Karaki, J. N. and Kamal, A. E., “Routing Techniques in Wireless Sensor Networks: A Survey,” IEEE Wireless Communications, Vol. 11, pp. 6_28 (2004).
[9] E. Royer, and C. Toh, “A Review of Current Routing Protocols for ad hoc Mobile Wireless Networks”, IEEE Personal Communication, Vol. 6, pp. 46_55 (1999).
[10] Wafaa Ibrihich, Krit Salah-ddine, Jalal Laassiri, and Said El Hajji, "Recent Advances of Hierarchical Routing Protocols for AdHoc and Wireless Sensor Networks: A Literature Survey*" International Journal of Informatics Technologies- Ijit, Vol.:9, issue: 2, May 2016.
[11] Hetal Rana, Sangeeta Vhatkar, Mohommad Atique, “Comparative Study of PEGASIS Protocols in Wireless Sensor Network”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, pISSN: 2278-8727, Volume 16, Issue 5, Ver. I (Sep – Oct. 2014), PP 25-30.
[12] Mahnaz Esmaeeli, Seyed Ali Hosseini Ghahroudi, “Improving Energy Efficiency using a new Game Theory Algorithm for Wireless Sensor Networks”, International Journal of Computer Applications (0975 – 8887) Volume 136 – No.12, February 2016.
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[17] Ali Jorio, Sanaa El Fkihi, Brahim Elbhiri,and Driss Aboutajdine1 “An Energy-Efficient Clustering Routing Algorithm Based on Geographic Position and Residual Energy for Wireless Sensor Network “, Journal of Computer Networks and Communications Volume 2015, Article ID 170138, 11 pages http://dx.doi.org/10.1155/2015/170138.
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[21] Mourad Hadjila,Hervé Guyennet,Mohammed Feham,” A. Chain-Based Routing Protocol to Maximize the Lifetime of Wireless Sensor Networks”, Wireless Sensor Network, 2013, 5, 116-120, http://dx.doi.org/10.4236/wsn.2013.55014.
[22] Gopi Saminathan Arumugam1 and Thirumurugan Ponnuchamy2,” development of energy-efficient LEACH Protocol for data gathering in WSN Arumugam and Ponnuchamy EURASIP Journal on Wireless Communications and Networking (2015) 2015:76 DOI 10.1186/s13638-015-0306-5.
[23] Mustapha Kabrane, Lahoucine Elmaimouni, Salahddine Krit, and Jalal Laassiri.(2016, September). Urban mobility in smart cities using low-cost and energy-saving wireless sensor networks. In International Conference In Engineering & MIS (ICEMIS), (pp. 1-7). IEEE.
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Cite This Article
  • APA Style

    Hassan Oudani, Salahddine Krit, Mustapha Kabrane, Kaoutar Bandaoud, Mohamed Elaskri, et al. (2017). Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing. International Journal of Sensors and Sensor Networks, 5(5-1), 6-12. https://doi.org/10.11648/j.ijssn.s.2017050501.12

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    ACS Style

    Hassan Oudani; Salahddine Krit; Mustapha Kabrane; Kaoutar Bandaoud; Mohamed Elaskri, et al. Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing. Int. J. Sens. Sens. Netw. 2017, 5(5-1), 6-12. doi: 10.11648/j.ijssn.s.2017050501.12

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    AMA Style

    Hassan Oudani, Salahddine Krit, Mustapha Kabrane, Kaoutar Bandaoud, Mohamed Elaskri, et al. Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing. Int J Sens Sens Netw. 2017;5(5-1):6-12. doi: 10.11648/j.ijssn.s.2017050501.12

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  • @article{10.11648/j.ijssn.s.2017050501.12,
      author = {Hassan Oudani and Salahddine Krit and Mustapha Kabrane and Kaoutar Bandaoud and Mohamed Elaskri and Khaoula Karimi and Hicham Elbousty and Lahoucine Elmaimouni},
      title = {Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {5},
      number = {5-1},
      pages = {6-12},
      doi = {10.11648/j.ijssn.s.2017050501.12},
      url = {https://doi.org/10.11648/j.ijssn.s.2017050501.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.s.2017050501.12},
      abstract = {In wireless sensor networks, the energy consumed by each node of the network influences the lifetime of the networks, more than the consumption of energy increases more than the lifetime of the networks decreases, this is why the increase of the lifetime of the networks requires a strategy (protocol) which reduces the power consumption of the transmission or reception of data by the sensor nodes. In recent years much research has been done to maximize a life time of network sensor. To deal with this, the hierarchical protocols (Cluster based-approach, chain based-approach) have been developed in order to reduce the network traffic toward the sink and therefore prolong the network lifetime. In this paper, the focus is mainly driven over the survey of the energy-efficient using hierarchical cluster-based approach namely LEACH (Low Energy Adaptive Clustering Hierarchy Protocol), in order to propose a new method to maximize more the life time of network sensor. Our method is to conserve energy consumption when transmitting data to the Base Station (BS). We evaluated the performance of the LEACH protocol with our proposed method simulated, the results of our method are demonstrated by the simulation results using Matlab Simulink.},
     year = {2017}
    }
    

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    T1  - Energy Efficient in Wireless Sensor Networks Using Cluster-Based Approach Routing
    AU  - Hassan Oudani
    AU  - Salahddine Krit
    AU  - Mustapha Kabrane
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    AU  - Hicham Elbousty
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    DO  - 10.11648/j.ijssn.s.2017050501.12
    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  - 6
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    PB  - Science Publishing Group
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    AB  - In wireless sensor networks, the energy consumed by each node of the network influences the lifetime of the networks, more than the consumption of energy increases more than the lifetime of the networks decreases, this is why the increase of the lifetime of the networks requires a strategy (protocol) which reduces the power consumption of the transmission or reception of data by the sensor nodes. In recent years much research has been done to maximize a life time of network sensor. To deal with this, the hierarchical protocols (Cluster based-approach, chain based-approach) have been developed in order to reduce the network traffic toward the sink and therefore prolong the network lifetime. In this paper, the focus is mainly driven over the survey of the energy-efficient using hierarchical cluster-based approach namely LEACH (Low Energy Adaptive Clustering Hierarchy Protocol), in order to propose a new method to maximize more the life time of network sensor. Our method is to conserve energy consumption when transmitting data to the Base Station (BS). We evaluated the performance of the LEACH protocol with our proposed method simulated, the results of our method are demonstrated by the simulation results using Matlab Simulink.
    VL  - 5
    IS  - 5-1
    ER  - 

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Author Information
  • Laboratory of Engineering Sciences and Energies, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir, Morocco

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

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

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

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

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

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

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

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