AN ENERGY-EFFICIENT DYNAMIC CLUSTERING IN WSN USING HYBRID K-MEDOID SIMULATED ANNEALING APPROACH

• Author(s):

  Arvind Kumar Shrivas | Dr. Nirupma Tiwari

• Keywords:

  WSN, IoT, Residual Energy, CH Selection, Energy-efficient, Network Lifetime.

• Abstract:

  In Recent Decades, Both Academic And Industrial Communities Have Seen The Advancement Of Wireless Sensor Networks (WSNs). Clustering Is The Most Common Way Of Increasing The Longevity Of WSNs. In Clustering Techniques, The Maximum No. Of CHs (Cluster Head

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Other Details

• Paper id:

  IJSARTV7I241955

• Published in:

  Volume: 7 Issue: 2 February 2021

• Publication Date:

  2021-02-21

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