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DOI: 10.14569/IJACSA.2018.090465
PDF

Energy Efficient Algorithm for Wireless Sensor Network using Fuzzy C-Means Clustering

Author 1: Abhilasha Jain
Author 2: Ashok Kumar Goel

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Energy efficiency is a vital issue in wireless sensor networks. In this paper, an energy efficient routing algorithm has been proposed with an aim to enhance lifetime of network. In this paper, Fuzzy C-Means clustering has been used to form optimum number of static clusters. A concept of coherence is used to eliminate redundant data generation and transmission which avoids undue loss of energy. Intra-cluster and inter-cluster gateways are used to avoid nodes from transmitting data through long distances. A new strategy has been proposed to select robust nodes near sink for direct data transmissions. The proposed algorithm is compared with LEACH, MR-LEACH, MH-LEACH and OCM-FCM based upon lifetime, average energy consumption and throughput. From the results, it is confirmed that the performance of the proposed algorithm is much better than other algorithms and is more suitable for implementation in wireless sensor networks.

Keywords: WSN, clustering; sleep-awake; virtual grids; multi-hop; routing

Abhilasha Jain and Ashok Kumar Goel, “Energy Efficient Algorithm for Wireless Sensor Network using Fuzzy C-Means Clustering” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090465

@article{Jain2018,
title = {Energy Efficient Algorithm for Wireless Sensor Network using Fuzzy C-Means Clustering},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090465},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090465},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Abhilasha Jain and Ashok Kumar Goel}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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