Sink Originated Unique Algorithm for Clustering and Routing to forward Aggregated Data in Wireless Sensor Networks

Abstract

In WSN, efficient communication without compromising the energy of sensor node is the major delinquent issue. In large scale deployment, data redundancy and communication delay will occur due to the crowd of sensor nodes. A Sink Originated Unique Clustering and Routing Algorithm (UCRA) is proposed which works based on each sensor node’s Node Handling capacity and processing load of a sensor node is reduced with the forward tree establishment mechanism. The proposed technique was compared with two well-known techniques, Data Routing for In-Network Aggregation (DRINA) and Efficient Data Collection Aware of Spatio-Temporal Correlation (EAST). UCRA conserves 38% more energy and reduces 24% delay when compared with other two techniques.