Energy Efficient Multilevel Hierarchical Data Aggregation Mechanism for Wireless Sensor Networks

Wireless sensor network (WSN) is considered as a most trusted technology because of its wide range of applications in various fields like healthcare, industry, military, agriculture etc. WSN consists of seveal sensor nodes with each having the capacity to sense the data, process the sensed data and communicate the processed data. Usually sensor nodes are densely, randomly deployed at the region of interest. This kind of deployment leads to the generation of enormous ammount of redundant sensor data. Routing of such redundant data consumes more energy and saturates the network resources. Hence Data fussion technique is used to reduce the redundant transmissions in the network by fussing the redundant data packets so that network lifetime is enhanced. There are different data fussion techniques which perform data fussion in a single level or in two levels. In this paper we are proposing a multilevel hierarchical data aggregation technique which handles the redundant transmissions in an efficient manner.