A Survey On Data Aggregation Techniques to Improve the Energy Efficiency in Wireless Sensor Networks

Data aggregation method in a wireless sensor network (WSN) is used for sending local representative data to the sink node which is based on the spatial correlation of sampled data. The problem occurs in recent spatial correlation models in sensor nodes data are not appropriate for measuring the correlation in a complex environment. The representative data are inaccurate when compared with real data. The data density with correlation degree is necessary to resolve the problem. The spatial correlation is measured that measures the correlation between a sensor nodes data and its neighboring sensor nodes data. The data aggregation is necessary for minimizing power utilization during the data transmission in wireless sensor network and multilevel network clustering method is used for reducing power consumption. Based on a data density correlation degree (DDCD) clustering method representative data.