ISFC-BLS (Intelligent and Secured Fuzzy Clustering Algorithm Using Balanced Load Sub-Cluster Formation) in WSN Environment

Abstract

Wireless sensor networks (WSNs) have variety of applications and comprise of numerous tiny sensor nodes that are deployed to process and transmit the sensed data to the base station. Security and energy efficiency are the two major concerns for prolonging the lifetime of the WSN. Due to their broadcast nature, WSNs are prone to several threats that needs to be resolved. An effective clustering scheme can overcome these security threats and enhance the energy efficiency as well as lifetime of the network. A secured and energy efficient Intelligent and Secured Fuzzy Clustering Algorithm using Balanced Load Sub-cluster formation (ISFC-BLS) routing protocol for WSNs is proposed and corresponding maintenance methods and routing algorithms are established. On the basis of previous works, in order to select cluster heads in hierarchical topology, in this paper, a solution based on fuzzy based clustering technique is proposed which facilitates cooperative communication in the network and the balanced load sub cluster formation is proposed that helps to determine the nodes which joins the cluster. Ant colony optimization is used for determining the optimal path to the destination. Experimental results and performance analysis demonstrate that ISFC-BLS is more effective and secure than energy efficient heterogeneous ring clustering and other existing clustering techniques, for enhancing the networks lifetime and achieving better energy efficiency by decreasing the number of control messages and the node energy consumption.