Energy-efficient Cluster Based Data Aggregation for Wireless Sensor Networks

Abstract

One of the major issues in Wireless Sensor Network is maximizing the lifetime of the network. In general, all sensor nodes directly send the information to the Base station so the energy requirement is very high. Clustering is used to decrease energy consumption and collision. In this paper, we propose an Energy efficient Cluster Based Data Aggregation scheme for sensor networks (ECBDA). This scheme has four phases: Cluster formation, Cluster head election, Data aggregation and Maintenance. Cluster members send the data only to its corresponding local cluster head. Data generated from neighboring sensors are often redundant and highly correlated thus the cluster head performs the data aggregation to reduce the redundant packet transmission. In our scheme, clusters are formed in a non-periodic manner to avoid unnecessary setup message transmissions. Simulation results demonstrate that our approach effectively reduces the energy consumed and it helps to increase the network lifetime.