Deterministic Type 2 Fuzzy Logic Based Unequal Clustering Technique for Wireless Sensor Networks

Abstract

In recent days, wireless sensor systems (WSNs) offered a critical segment of reconnaissance advancements. Energy productivity in WSN assumes a vital job in the working of WSN. Clustering in WSN offers a huge energy effective procedure in WSN. Be that as it may, it prompts the issue of hot spot issue. To address this issue, the unequal clustering process in WSN is proposed. In this paper, a deterministic type 2 fuzzy-based unequal clustering (DTFUC) model in WSN is introduced. A backoff timing mechanism is used for primary cluster head (CH) selection and type 2 fuzzy logic mechanism is applied for secondary CH selection. The introduced DTFUC model successfully chooses the CHs in a productive manner. The displayed calculation experiences various situations under diverse measures.