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Related Experiment Video

Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

A differential evolution-based routing algorithm for environmental monitoring wireless sensor networks.

Xiaofang Li1, Lizhong Xu, Huibin Wang

  • 1College of Computer and Information, Hohai University, Nanjing, China. jsjxy@hhu.edu.cn

Sensors (Basel, Switzerland)
|January 6, 2012
PubMed
Summary

This study introduces an improved Low Energy Adaptive Cluster Hierarchy (LEACH) routing protocol using differential evolution (DE). The enhanced algorithm optimizes cluster head selection, extending wireless sensor network lifetime and improving stability for environmental monitoring.

Keywords:
Differential Evolution AlgorithmLEACH protocolWireless Sensor Networksenvironmental monitoringmeteorological and hydrological telemetry

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Wireless Sensor Networks
  • Algorithm Optimization

Background:

  • Traditional Low Energy Adaptive Cluster Hierarchy (LEACH) routing protocols suffer from uneven cluster head selection, leading to premature node failure and reduced network lifespan.
  • Existing LEACH protocols do not adequately consider energy and distance distribution for cluster head selection, impacting overall network efficiency.

Purpose of the Study:

  • To propose a novel routing algorithm that enhances the LEACH protocol by optimizing cluster head selection.
  • To improve energy efficiency, system stability, and the overall lifetime of wireless sensor networks, particularly for outdoor environmental monitoring applications.

Main Methods:

  • A new routing algorithm based on differential evolution (DE) is proposed to optimize the multi-objective selection of cluster heads.
  • The algorithm incorporates energy and distance distribution information of neighboring nodes within clusters.
  • DE's search features are utilized to prevent the selection of 'blind nodes' and enhance energy efficiency.

Main Results:

  • Simulation results demonstrate that the proposed DE-based LEACH routing algorithm outperforms traditional methods.
  • The new algorithm effectively extends the operational lifetime of wireless sensor networks.
  • Improved energy efficiency and system stability were observed, enhancing network quality.

Conclusions:

  • The proposed differential evolution-based LEACH routing algorithm offers a significant improvement over traditional LEACH protocols.
  • This optimized approach is particularly beneficial for resource-constrained wireless sensor networks in demanding outdoor monitoring environments.
  • The study successfully addresses premature node death and enhances the overall performance and longevity of wireless sensor networks.