A Weighted Cluster Head Selection Algorithm for Energy Efficient Wireless Sensor Networks

Abstract

The wireless sensor network’s (WSNs) lifetime is mainly dependent on the RE of the sensor nodes (SeN). In recent years, energy minimization in a WSN has been a prominent research topic, and numerous solutions have been proposed. This research focuses on the energy minimization of the SeNs where firstly, K-medoid clustering algorithm is applied to create clusters. Second, a weighted cluster head selection technique is used to choose a cluster head (CH) by integrating three independent weights associated with an SeN: energy, distance from the centroid, and distance from the sink node (SN). According to the energy level and distance from the SN and cluster’s centre, each node is assigned a constant weight. The simulation results are compared to existing methodologies, and the results show that the suggested network’s lifetime enhances.

Hybrid Red Fox and Improved Whale Optimization Algorithm-based Clustering scheme for improving network longevity in Wireless Sensor Networks

“…The processing unit of sensor node is significant in processing the incoming signal for the purpose of facilitating necessary actions that aids in forwarding the radio signals. The transceiver plays an anchor role in transmitting and receiving the radio signals from the sensor nodes that share a common range of communication [3]. The WSNs are mainly utilized in agricultural irrigation management, industrial process monitoring, and battlefield surveillance in military applications and forest fire detection.…”