Scholarlink

<p>In dynamic IoT networks, it is challenging to minimize energy consumption while preserving security. In response, this work Energy Efficient and Secure Cluster Management algorithm, integrates Salp Swarm Algorithm (SSA) with Wagging-based Whale Optimization Algorithm (WWOA) in conjunction with Convex-Hull algorithm. EESCM uses a hierarchical approach whereby SSA investigates possible cluster head candidates, WWOA chooses optimal cluster heads based on the parameters like residual energy, node degree, intra-cluster distance, and trust. It also ensures that the selected nodes provide maximum coverage of the network nodes. Cluster Heads selection is done based on the average of each of these parameters and their standard deviation. Convex Hull repositions cluster heads and Base Station, reducing transmission distance and communication delay in the network. With 20.7% less dead nodes, 14.2% higher Packet Delivery Ratio, 4.8% increased throughput, and 17.2% more residual energy, simulations show notable advancements of EESCM over state-of-the-art-algorithms.</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

EESCM: Energy Efficient and Secure Cluster Management in IoT networks through convex-hull driven SSA-WWOA algorithms

  • 期刊论文

  • 发表日期：

    2026年6月2日

查看全文
  • Richa Garg,
  • Deepika Kukreja,
  • Amarjit Malhotra,
  • Rounak Raman

摘要

In dynamic IoT networks, it is challenging to minimize energy consumption while preserving security. In response, this work Energy Efficient and Secure Cluster Management algorithm, integrates Salp Swarm Algorithm (SSA) with Wagging-based Whale Optimization Algorithm (WWOA) in conjunction with Convex-Hull algorithm. EESCM uses a hierarchical approach whereby SSA investigates possible cluster head candidates, WWOA chooses optimal cluster heads based on the parameters like residual energy, node degree, intra-cluster distance, and trust. It also ensures that the selected nodes provide maximum coverage of the network nodes. Cluster Heads selection is done based on the average of each of these parameters and their standard deviation. Convex Hull repositions cluster heads and Base Station, reducing transmission distance and communication delay in the network. With 20.7% less dead nodes, 14.2% higher Packet Delivery Ratio, 4.8% increased throughput, and 17.2% more residual energy, simulations show notable advancements of EESCM over state-of-the-art-algorithms.