Energy-efficiency Using Critical Nodes Detection Problem In Industrial Wireless Sensor Networks (iwsns)

Abstract

Industrial Wireless Sensor Networks (IWSNs) play significant role in enabling self-organization, rapid deployment, and ensuring reliable monitoring and control in industrial systems. Despite their advantages, sensor nodes in IWSNs are constrained by limited energy resources, and have minimal processing power, and restricted communication capabilities, making energy efficiency is a critical concern. To solve this problem, we propose a novel approach of Critical Node Detection Problem (CNDP) based on a graph partitioning method in IWSNs. The network is divided into manageable partitions after removing critical nodes, optimizing energy usage, reducing communication overhead, and ensure the network's connectivity and operational reliability across multiple communication rounds. Experiments simulation validates our proposed approach, approving its efficiency in reducing significant energy consumption while preserving connectivity and functionality for industrial systems. Furthermore, the results highlight the potential of using critical node analysis to support sustainable and efficient operations in resource-constrained industrial environments.