Neural-Fuzzy based effective clustering for large-scale wireless sensor networks with mobile sink

This paper presents the versatile approach, called Neural-Fuzzy based Effective Clustering (NFEC), for Large-Scale wireless sensor network (WSN) with Mobile Sink. The proposed protocol NFEC presents the effectiveness of existing approaches with proposed NFEC in terms of stability period and network lifetime for homogeneous and heterogeneous network environment. The NFEC protocol utilizes the concept of Neural-Fuzzy based model to enhance the network performance while considering the effect of random waypoint mobility in Sink/Base Station. The nature of the proposed NFEC is adaptive and can be varied accordingly for homogeneous and heterogeneous scalable WSN. The simulations analyse the performance of NFEC protocol with existing protocols.