Dynamic Cluster Formation Mechanism in Wireless Sensor Networks Using Fuzzy Logic

Abstract

The quick advance in the domain of Wireless Sensor Networks (WSNs) can demand extensive setup of sensor nodes. The large-scale WSNs need energy-efficient clustering protocols to handle the operations of sensor nodes. In clustered-WSNs, the network is separated into clusters to collect the sensed data more efficiently. Each cluster contains a manager, namely Cluster Head (CH), and it is accountable for data gathering from its associated nodes and transmitting it to the intended locations. Therefore, selecting appropriate CHs and distributing the load to CHs are two significant problems in WSNs. In this work, we design a fuzzy logic-based clustering approach called Dynamic Cluster Formation Mechanism (DCFM) to enhance the lifespan of WSNs. The simulations show that the proposed DCFM approach operates well as compared to the well-known existing clustering algorithm.