Cluster based Routing in Sensor Network using Soft Computing Techniquies: A Survey Robinson Y. Harold*, Julie E. Golden**, Ayyasamy A.***, Archana M.**** *Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamilnadu, India. yhrobinphd@gmail.com **Department of Computer Science and Engineering, Anna University, Regiional Campus, Tirunelveli, Tamilnadu, India. goldenjuliephd@gmail.com ***Faculty of Engineering and Technology, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. samy7771@yahoo.co.in ****Faculty of Engineering and Technology, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. archana.aucse@gmail.com Online published on 23 March, 2017. Abstract Research in Wireless Sensor Networks (WSNs) has gained importance in the recent years. These networks are battery driven and are usually deployed in hazardous or isolated areas. The main objective of these networks is to collect environmental data and forward it to the base station. Hence routing has become an important area of research. Energy efficiency and timely delivery of sensed data are critical criteria for these networks. The position of sensor nodes should not be pre-determined. Clustering is a key method used to extend the lifetime of a sensor network. It has many applications, such as building supervision, industrial quality management, and environmental monitoring. The characteristics of WSNs are Low energy usage, Dynamic network operations and autonomous process of networks. Soft computing techniques can be incorporated to achieve better performance. This paper surveys the recent trends in routing contain fuzzy logic and Neuro fuzzy logic based clustering techniques and presents a comparative study of the various approaches. Top Keywords Wireless sensor networks, Clustering, Fuzzy logic, Neuro-Fuzzy logic, Energy efficiency. Top |