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Volume 7, Issue 2 (February 2021)

An Energy-efficient Dynamic Clustering In Wsn Using Hybrid K-medoid Simulated Annealing Approach

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Arvind Kumar Shrivas Dr. Nirupma Tiwari

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


Keywords

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

Paper ID

IJSARTV7I241955

Publication Date

February 21, 2021

Research Area

Computer Science & Engineering

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