Arefe Esalat Nejad - Young Researchers and Elite Club, Baft Branch, Islamic Azad University, Baft, Iran
Marzieh Arbabi - Department of Electronic and Computer, Kashan Branch, Islamic Azad University, Kashan, Iran
Morteza Romouzi - Department of Electronic and Computer, Kashan Branch, Islamic Azad University, Kashan, Iran

In recent times, wireless sensor networks (WSNs) have become progressively more attractive and have found their way into a wide variety of applications and systems because of their low cost, self-organizing behavior, and sensing ability in harsh environments. A WSN is a collection of nodes organized into a network. Routing is a vital technology in WSNs and can be roughly divided into two categories: flat routing and hierarchical routing. In a flat routing topology, all nodes have identical functionality and carry out the same task in the network. Nodes in a hierarchical topology do different tasks in WSNs and are usually arranged into clusters. We analyze a fuzzy clustering algorithm (FCA) which aims to prolong the lifetime of WSNs. This algorithm adjusts the cluster-head radius considering the residual energy and distance to the base station parameters of the sensor nodes. This helps to decrease the intra-cluster work of the sensor nodes, which are closer to the base station or have lower battery level. Fuzzy logic is utilized for handling the uncertainties in cluster-head radius estimation. We compare this algorithm with the low energy adaptive clustering hierarchy (LEACH) algorithm according to the parameters of first node dies half of the nodes alive and energy-efficiency metrics. Therefore, the FCA is a stable and energy-efficient clustering algorithm.

Fuzzy Clustering, Wireless sensor network, Algorithm