An Improvement of Fuzzy Logic Based Clustering Combined for Mobile Sink Algorithm

In recent years, the Wireless Sensor Network has attracted more and more researchers for their great potential benefits such as security and environmental monitoring, following and evaluating in agriculture. Many routing protocols are designed for energy resources optimization. However, networks with one fixed sink often suffer from a hot spots problem since nodes near sinks take more energy to forward data during the transmission process. The use of fuzzy logic based clustering combined with mobile sink has been proved to be an effective way to enhance network performance features such as energy efficiency, network lifetime. This paper contributes the improvement of network lifetime by considering the fuzzy logic approach which is used to elect the cluster head based on three descriptors: residual energy, local distance and distance to sink. Simulation result presents that our improvement for fuzzy logic based clustering combined with mobile sink algorithm extends the performance of wireless sensor network and better than some other algorithms.