Akademik Veri Yönetim Sistemi
30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022
© 2022 IEEE.Resource Constrained Networks (RCNs) are networks that mostly have constraints (limitation) on one or more of the basic element properties that make up the network. These networks, especially in the Internet of Things (IoT) or Wireless Sensor Network (WSN) examples, consist of nodes with poor performance in various aspects, and resource constraints become crucial for the nodes that have wireless connection to the network. A resource constraint could be in the form of bandwidth, which is one of the main features of the network, or it can also appear in the form of energy, which is one of the characteristics of the nodes, and this latter situation drastically affects the lifespan of the network and application. Today, extensive research on the efficient use of energy, especially clustering studies, focus on the selection of Cluster Heads (CHs) for creating a solution to the problem. In this study, a Hybrid Gray Wolf Optimization (HGWO) methodology is proposed to overcome the early convergence of the basic Gray Wolf Optimization (GWO) algorithm and is tested for optimizing the CH selection process in WSNs with the aim of prolonging the lifespan of RCNs.