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International Journal of Wireless and Ad Hoc Communication
Volume 7 , Issue 1, PP: 08-17 , 2023 | Cite this article as | XML | Html |PDF

Title

Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN

  Ankita Srivastava 1 * ,   P. K. Mishra 2

1  Department of Computer Science Institute of Science, Banaras Hindu University Varanasi 221005, India
    (ankita1490@gmail.com)

2  Department of Computer Science Institute of Science, Banaras Hindu University Varanasi 221005, India
    (mishra@bhu.ac.in)

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Doi   :   https://doi.org/10.54216/IJWAC.070101

Received: January 03, 2023 Revised: April 12, 2023 Accepted: May 04, 2023

Abstract :

Large number of small sensor nodes exists in WSN’s for sensing and collecting information from the environment. In today’s time, these sensor nodes were applied in under water, military area, health care, earthquake sensing and in dedicated areas with recent technologies. Sensor nodes have limited life time and have supplementary network life. Network lifecycle depends on many factors such as connectivity, residual energy, topology types, single hop, multi hop, distance from base station, distance to cluster heads and much more. Among the various solutions given, clustering is considered to be good solution and optimal cluster head selection leads to efficient energy consumption. This paper proposes fuzzy based multi-attributes clustering that balances load among sensor nodes and also gives energy efficient clustering. Here we have used some attributes such as delay, residual energy, distance to CH, standard deviation to average network lifetime and standard deviation to residual energy. Results and experimental analysis validates that the proposed methods outperforms other compared algorithms.

Keywords :

Fuzzy Rules; Clustering; MADM; Load-Balance; Network Lifetime.

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Cite this Article as :
Style #
MLA Ankita Srivastava , P. K. Mishra. "Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN." International Journal of Wireless and Ad Hoc Communication, Vol. 7, No. 1, 2023 ,PP. 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
APA Ankita Srivastava , P. K. Mishra. (2023). Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 1 ), 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
Chicago Ankita Srivastava , P. K. Mishra. "Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN." Journal of International Journal of Wireless and Ad Hoc Communication, 7 no. 1 (2023): 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
Harvard Ankita Srivastava , P. K. Mishra. (2023). Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 1 ), 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
Vancouver Ankita Srivastava , P. K. Mishra. Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN. Journal of International Journal of Wireless and Ad Hoc Communication, (2023); 7 ( 1 ): 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
IEEE Ankita Srivastava, P. K. Mishra, Fuzzy Logic Based Load Balanced Clustering for Network Lifetime Enhancement in WSN, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 7 , No. 1 , (2023) : 08-17 (Doi   :  https://doi.org/10.54216/IJWAC.070101)
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