Extending the lifetime of clustered industrial automation network

A Wireless sensor network is a collection of Wireless nodes with limited energy capabilities that may be mobile or stationary and are located randomly on a dynamically changing environment. How to effectively control the power of the sensor nodes and extend the life time of the whole network become a very important issue. This project presents the clustering approach which includes the Wireless sensor network. In the clustering approaches share the loads with cluster head nodes. To extend the cluster head's life and extend the life time of network based on the distance between the cluster head and base station. Energy usage is minimized by exploiting density estimation, sleeping modes and duty cycle control and distance between the cluster head and nodes. In this work, we proposed clustering mechanism. Nodes associate with the nearby CH. Nodes are classified in to critical nodes and non-critical nodes. Critical nodes are continuously transmission between the CH and nodes. so energy usage of critical node is high at the same time non-critical node based on the open loop system. It is not continiously transmit, so minimized energy usage of non-critical nodes. The proposed mechanism will effectively reduce the frequency of the transmission of the sensor nodes more close to sink and achieve the effectiveness of saving power and extending the lifetime of network.