Scholarlink

<p>This paper presents a hybrid Genetic–Tunicate Swarm Optimization (GATSO-H) approach for energy-efficient cluster head selection in wireless sensor networks (WSNs). The aim is to enhance the sustainability and operational efficiency of sensor networks in harsh environments, where battery replacement is major challenge. The method employs clustering-based routing in MATLAB to reduce energy consumption and extend network lifetime. Evaluation across metrics such as node density, residual energy, average network energy, and node-to-sink distance shows that GATSO-H improves stability period by 42%, lifetime by 52%, and throughput by 19% compared to Genetic–Particle Swarm Optimization. It outperforms protocols such as Dynamic Cluster Head-Genetic Algorithm (DCH-GA), PSO based Sink Mobility, and Genetic Algorithm Distance Aware Routing-Low Energy Adaptive Clustering Hierarchy (GADR-LEACH), underscoring its suitability for energy-constrained WSNs.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hybrid Genetic-Tunicate Swarm Algorithm based Routing Mechanism in Wireless Sensor Network

  • 期刊论文

  • 发表日期：

    2026年3月30日

查看全文
  • Navneet Kaur,
  • Gurpurneet Kaur,
  • Gurjot Kaur Walia,
  • Avineet Kaur,
  • Sandeep Verma

摘要

This paper presents a hybrid Genetic–Tunicate Swarm Optimization (GATSO-H) approach for energy-efficient cluster head selection in wireless sensor networks (WSNs). The aim is to enhance the sustainability and operational efficiency of sensor networks in harsh environments, where battery replacement is major challenge. The method employs clustering-based routing in MATLAB to reduce energy consumption and extend network lifetime. Evaluation across metrics such as node density, residual energy, average network energy, and node-to-sink distance shows that GATSO-H improves stability period by 42%, lifetime by 52%, and throughput by 19% compared to Genetic–Particle Swarm Optimization. It outperforms protocols such as Dynamic Cluster Head-Genetic Algorithm (DCH-GA), PSO based Sink Mobility, and Genetic Algorithm Distance Aware Routing-Low Energy Adaptive Clustering Hierarchy (GADR-LEACH), underscoring its suitability for energy-constrained WSNs.