EBDRA: Energy balanced dynamic cluster routing approach for WSN

Density of nodes deployed in WSNs is based on application requirements. The redundant data collection in dense network results in more energy consumption. The Data Routing In-Network Aggregation (DRINA) is one of the recent algorithm proposed to reduce energy consumption in dense network environment by minimizing the number ofcommunications from source to sink. Here the Data transmission is carried out by using data aggregation in cluster based environment using shortest path method. But due to inefficient cluster head selection technique, it is unable to mange cluster head failures and evades the energy drain in sensor nodes along the common static path that leads network partition. In order to overcome these problems we proposed an algorithm known as Energy Efficient Routing using Dynamic Cluster approach (EBDRA), that includes efficient cluster head selection technique and dynamic route selection for the reliable data transmission. In our approach the cluster head selection technique involves an efficient method of cluster head selection. Our algorithm reduces the communication overhead, energy consumption and increases the network lifetime when compare to earlier state of art works. © 2016 IEEE.