A Hybrid Multicriteria Decision-Making Algorithm for Energy-Efficient Clustering in Industrial Wireless Sensor Networks

Abstract

Industrial wireless sensor networks allow the use of battery-operated sensor nodes for environmental monitoring in harsh industrial environments. Optimal usage of the sensor node's battery energy and balanced energy consumption among sensor nodes is essential to prolong the lifetime of the network. This letter proposes a hybrid multi-criteria decision-making algorithm for an industrial wireless sensor network with heterogeneous energy levels and traffic patterns among sensor nodes to be optimally grouped into energy-efficient clusters. The simulation results demonstrate that the proposed approach achieves 70% improvement in network lifetime and a 75.5% improvement in packets delivered to the base station over other existing algorithms.