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  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

HIGHLY COMPETENT CLUSTERING MECHANISM FOR CONNECTING WIRELESS SENSOR NETWORK FIELDS

Dr. S.R. Boselin Prabhu

Assistant Professor, Department of Electronics and Communication Engineering, SVS College of Engineering, Coimbatore, India

Dr. E. Gajendran

Professor, Department of Information Technology, St.Martin’s Engineering College, Hyderabad.

N. Balakumar

Assistant Professor, Department of Electrical and Electronics Engineering, Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India.

90 - 99 Vol. 2, Jan-Dec, 2016
Receiving Date: 2016-01-29;    Acceptance Date: 2016-02-16;    Publication Date: 2016-02-26
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Abstract

In this paper a highly competent distributed clustering mechanism, the hybrid energy efficient clustering algorithm (HEECA) for connecting wireless sensor network fields has been proposed, which mainly spotlights on reduction in energy utilization. It is a well distributed, energy efficient clustering algorithm which employs distributed relay nodes, adaptive transmission power and threshold-sensitive clustering mechanism for setting up the cluster. The proposed scheme is compared with the well-evaluated existing distributed clustering algorithms O-LEACH and HEED. Simulation results clearly depict an excellent advancement in remaining energy and throughput of the wireless sensor system. Simulation study also demonstrates an exceptional prolongation in network lifetime compared to the two existing clustering algorithms

Keywords: Wireless sensor network (WSN); distributed clustering; distributed relay node; adaptive transmission power; throughput; network lifetime.

    References

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