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Energy-Balanced Cluster-Routing Protocol Based on Particle Swarm Optimization with Five Mutation Operators for

Yamin Han1, Heejung Byun2, Liangliang Zhang1

  • 1Department of Computer Science, The University of Suwon, Hwaseong 18323, Korea.

Sensors (Basel, Switzerland)
|December 19, 2020
PubMed
Summary

This study introduces an energy-balanced cluster-routing protocol (EBCRP) for wireless sensor networks (WSNs). EBCRP optimizes cluster head selection to balance energy consumption and extend network lifetime.

Keywords:
clusterenergy balancemutation operatorsparticle swarm optimizationwireless sensor networks

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Area of Science:

  • Wireless Sensor Networks (WSNs)
  • Network Lifetime Optimization
  • Energy Conservation Strategies

Background:

  • Prolonging network lifetime is crucial for WSNs.
  • Sensor node clustering is a common energy conservation strategy.
  • Non-uniform node distribution causes unbalanced cluster sizes and energy consumption, reducing network lifetime.

Purpose of the Study:

  • To address unbalanced cluster sizes and optimize the number of clusters in WSNs.
  • To propose an energy-balanced cluster-routing protocol (EBCRP) for WSNs.
  • To enhance Particle Swarm Optimization (PSO) for sensor node clustering.

Main Methods:

  • Developed an energy-balanced cluster-routing protocol (EBCRP).
  • Integrated PSO with five novel mutation operators for optimizing sensor node clustering.
  • Implemented a rotation cluster head (CH) selection scheme based on highest residual energy.

Main Results:

  • The proposed EBCRP effectively balances energy consumption among CHs.
  • Simulation results demonstrate a significant prolongation of WSN network lifetime.
  • The enhanced PSO with mutation operators improved clustering performance.

Conclusions:

  • EBCRP offers an effective solution for energy balancing in WSNs.
  • The protocol enhances overall WSN performance and network longevity.
  • Optimized clustering and CH selection are key to efficient WSN operation.