A Survey on Energy Efficient Tree-Based Data Aggregation Techniques in Wireless Sensor Networks

Abstract

Wireless Sensor Network contains spatially distributed tiny sensor nodes for sensing and data processing. These sensor nodes have low memory and limited energy. A large amount of energy is consumed during sensing, processing, transmission and reception of sensed data. This leads to failure of sensor nodes. To overcome these limitations and to prolong the network lifetime different data aggregation techniques can be adapted. Through data aggregation, collection and gathering of useful data at the sink node is done in an energy efficient manner. Data redundancies can also be eliminated and network lifetime can be increased. In this paper, a survey on energy efficient tree-based data aggregation techniques in wireless sensor network is discussed. In tree architecture, all nodes are structured in the form of a tree containing leaf nodes and forwarding nodes This structure can be adapted for continuous monitoring applications. Power Consumption is less during data transmission in a tree-based aggregation when compared to cluster or grid-based aggregation.