Implementation on Energy Efficient Multilevel Hierarchical Data Aggregation Mechanism for Wireless Sensor Networks

Wireless Sensor networks consisting of mobile nodes with limited battery power and wireless nodes are deployed to collect the related information from that area. Collecting sensed data in an energy efficient manner is critical to operate the sensor network for a long period of time because of the power restriction of sensor mobile nodes, efficient routing, in wireless sensor networks, is a critical approach to saving node’s energy and thus increases network lifetime WSN consists of several sensor nodes with each having the capacity to sense the data, process the sensed data and communicate the processed data. Usually sensor nodes are kept in dense, randomly deployed at the region they want to monitor. The major challenge is that deployment leads to the generation of enormous amount of redundant (duplicate) sensor data. Routing of those redundant data consumes more energy and that leads to the saturation point of the network resources. Hence Data fusion technique is used to reduce the duplicate routing of data in the network by fussing the redundant data packets so that network lifetime increase. There are different data fusion techniques which perform data fusion 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.