Gannet Optimizer-Based Clustering Scheme for Wireless Sensor Networks

Wireless Sensor Network (WSN) is a wireless self-organizing network based on sensor nodes. Small batteries or power supply with weak computing power are usually used, so how to effectively control the energy consumption of nodes has become a very important optimization goal. This study proposes a useful method for cluster head election in WSNs to extend network lifetime using the Gannet Optimization Algorithm (GOA). When applied to WSNs and compared with other protocols, the GOA-C protocol consumes less energy, has a longer lifetime, and receives more messages from base stations and cluster head nodes.