TY - JFULL AU - Y. Harold Robinson and E. Golden Julie PY - 2016/11/ TI - A Comparative Study on Fuzzy and Neuro-Fuzzy Enabled Cluster Based Routing Protocols for Wireless Sensor Networks T2 - International Journal of Computer and Information Engineering SP - 1912 EP - 1924 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10008316 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 118, 2016 N2 - Dynamic Routing in Wireless Sensor Networks (WSNs) has played a significant task in research for the recent years. Energy consumption and data delivery in time are the major parameters with the usage of sensor nodes that are significant criteria for these networks. The location of sensor nodes must not be prearranged. Clustering in WSN is a key methodology which is used to enlarge the life-time of a sensor network. It consists of numerous real-time applications. The features of WSNs are minimized the consumption of energy. Soft computing techniques can be included to accomplish improved performance. This paper surveys the modern trends in routing enclose fuzzy logic and Neuro-fuzzy logic based on the clustering techniques and implements a comparative study of the numerous related methodologies. ER -