An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic

Morteza Asghari Reykandeh; Ismaeil Asghari Reykandeh

doi:doi:10.11648/j.ijiis.s.2014030601.17

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An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic

Morteza Asghari Reykandeh, Ismaeil Asghari Reykandeh

Published in International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)

Received: 7 October 2014 Accepted: 11 October 2014 Published: 27 October 2014

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Abstract

Wireless sensor network (WSN) is composed of a large number of sensor nodes that are connected to each other. In order to collect more efficient information, wireless sensor networks are classified into groups. Classification is an efficient way to increase the lifetime of wireless sensor networks. In this network, devices have limited power processing and memory. Due to limited resources in wireless sensor networks, increasing lifetime was always of attention. An efficient routing method is called clustering based routing that finds optimum cluster heads and finding the correct number of them in each cluster remains a challenge. In this paper, we propose a novel and efficient method for clustering using fuzzy logic with four appropriate inputs and combine it with the good features of Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that our method is more efficient compared to other distributed algorithms, because the proposed method if fully distributed. The result show that compared to centralized, the speed is more and its energy consumption is less.

Published in	International Journal of Intelligent Information Systems (Volume 3, Issue 6-1) This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries
DOI	10.11648/j.ijiis.s.2014030601.17
Page(s)	38-44
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), 2014. Published by Science Publishing Group

Keywords

Wireless Sensor Networks, Clustering, Cluster Head, Fuzzy Logic, Lifetime

References

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APA Style

Morteza Asghari Reykandeh, Ismaeil Asghari Reykandeh. (2014). An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. International Journal of Intelligent Information Systems, 3(6-1), 38-44. https://doi.org/10.11648/j.ijiis.s.2014030601.17

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ACS Style

Morteza Asghari Reykandeh; Ismaeil Asghari Reykandeh. An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 38-44. doi: 10.11648/j.ijiis.s.2014030601.17

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AMA Style

Morteza Asghari Reykandeh, Ismaeil Asghari Reykandeh. An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. Int J Intell Inf Syst. 2014;3(6-1):38-44. doi: 10.11648/j.ijiis.s.2014030601.17

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@article{10.11648/j.ijiis.s.2014030601.17,
  author = {Morteza Asghari Reykandeh and Ismaeil Asghari Reykandeh},
  title = {An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {6-1},
  pages = {38-44},
  doi = {10.11648/j.ijiis.s.2014030601.17},
  url = {https://doi.org/10.11648/j.ijiis.s.2014030601.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.17},
  abstract = {Wireless sensor network (WSN) is composed of a large number of sensor nodes that are connected to each other. In order to collect more efficient information, wireless sensor networks are classified into groups. Classification is an efficient way to increase the lifetime of wireless sensor networks. In this network, devices have limited power processing and memory. Due to limited resources in wireless sensor networks, increasing lifetime was always of attention. An efficient routing method is called clustering based routing that finds optimum cluster heads and finding the correct number of them in each cluster remains a challenge. In this paper, we propose a novel and efficient method for clustering using fuzzy logic with four appropriate inputs and combine it with the good features of Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that our method is more efficient compared to other distributed algorithms, because the proposed method if fully distributed. The result show that compared to centralized, the speed is more and its energy consumption is less.},
 year = {2014}
}

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TY - JOUR
T1 - An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic
AU - Morteza Asghari Reykandeh
AU - Ismaeil Asghari Reykandeh
Y1 - 2014/10/27
PY - 2014
N1 - https://doi.org/10.11648/j.ijiis.s.2014030601.17
DO - 10.11648/j.ijiis.s.2014030601.17
T2 - International Journal of Intelligent Information Systems
JF - International Journal of Intelligent Information Systems
JO - International Journal of Intelligent Information Systems
SP - 38
EP - 44
PB - Science Publishing Group
SN - 2328-7683
UR - https://doi.org/10.11648/j.ijiis.s.2014030601.17
AB - Wireless sensor network (WSN) is composed of a large number of sensor nodes that are connected to each other. In order to collect more efficient information, wireless sensor networks are classified into groups. Classification is an efficient way to increase the lifetime of wireless sensor networks. In this network, devices have limited power processing and memory. Due to limited resources in wireless sensor networks, increasing lifetime was always of attention. An efficient routing method is called clustering based routing that finds optimum cluster heads and finding the correct number of them in each cluster remains a challenge. In this paper, we propose a novel and efficient method for clustering using fuzzy logic with four appropriate inputs and combine it with the good features of Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that our method is more efficient compared to other distributed algorithms, because the proposed method if fully distributed. The result show that compared to centralized, the speed is more and its energy consumption is less.
VL - 3
IS - 6-1
ER -

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Author Information

Morteza Asghari Reykandeh

Department of Computer Engineering, Islamic Azad University Khoy Branch, Khoy, Iran
Ismaeil Asghari Reykandeh

Department of Computer Engineering, Islamic Azad University Sari Branch, Sari, Iran

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APA Style

Morteza Asghari Reykandeh, Ismaeil Asghari Reykandeh. (2014). An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. International Journal of Intelligent Information Systems, 3(6-1), 38-44. https://doi.org/10.11648/j.ijiis.s.2014030601.17

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ACS Style

Morteza Asghari Reykandeh; Ismaeil Asghari Reykandeh. An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 38-44. doi: 10.11648/j.ijiis.s.2014030601.17

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AMA Style

Morteza Asghari Reykandeh, Ismaeil Asghari Reykandeh. An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic. Int J Intell Inf Syst. 2014;3(6-1):38-44. doi: 10.11648/j.ijiis.s.2014030601.17

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@article{10.11648/j.ijiis.s.2014030601.17,
  author = {Morteza Asghari Reykandeh and Ismaeil Asghari Reykandeh},
  title = {An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {6-1},
  pages = {38-44},
  doi = {10.11648/j.ijiis.s.2014030601.17},
  url = {https://doi.org/10.11648/j.ijiis.s.2014030601.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.17},
  abstract = {Wireless sensor network (WSN) is composed of a large number of sensor nodes that are connected to each other. In order to collect more efficient information, wireless sensor networks are classified into groups. Classification is an efficient way to increase the lifetime of wireless sensor networks. In this network, devices have limited power processing and memory. Due to limited resources in wireless sensor networks, increasing lifetime was always of attention. An efficient routing method is called clustering based routing that finds optimum cluster heads and finding the correct number of them in each cluster remains a challenge. In this paper, we propose a novel and efficient method for clustering using fuzzy logic with four appropriate inputs and combine it with the good features of Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that our method is more efficient compared to other distributed algorithms, because the proposed method if fully distributed. The result show that compared to centralized, the speed is more and its energy consumption is less.},
 year = {2014}
}

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