Abstract

A wireless sensor network (WSNs) consists of many sensor nodes and these networks are deployed in different classes of applications for accurate monitoring. Wireless sensor nodes are limited energy supply has constrained the lifetime of a sensor network. Nodes in wireless sensor network are densely located and there is duplication of sensed data. This happens because of multiple nodes sensing same event. Such data duplication is responsible for wastage of node energy. Since energy conservation is one of the key issue in WSNs. So, data fusion and data aggregation should be used in order to save energy. Data aggregation is effective method to eliminate redundancy and to minimize the number of transmission. In this paper we present an efficient data aggregation strategy based on tree & cluster formation which eliminates such data duplication and improves node energy efficiency provides the best aggregation quality when compared to other existing systems.

Authors and Affiliations