Y. Harold Robinson and E. Golden Julie
A Comparative Study on Fuzzy and NeuroFuzzy Enabled Cluster Based Routing Protocols for Wireless Sensor Networks
1913 - 1924
2016
10
10
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10008316
https://publications.waset.org/vol/118
World Academy of Science, Engineering and Technology
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 lifetime of a sensor network. It consists of numerous realtime 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 Neurofuzzy logic based on the clustering techniques and implements a comparative study of the numerous related methodologies.
Open Science Index 118, 2016