Study and Analysis of Energy Efficient Data Aggregation Techniques for Wireless Sensor Networks

Data aggregation is an important process in WSN. It is a process of data condensation from all source nodes in the network propagating towards the destination node (or) base station. Redundant information is removed from the data streams and only the superior data is forwarded to the base station. Hence this plays a very important role in cost minimization and better energy management. Aggregations of data, redundancy removal, energy efficiency, Energy Consumption, network life time, efficient routing algorithms, storage capacity, and bandwidth constraints, delay optimizations are some of the challenging task in this network. The hypothetical analysis and the simulation assessment shows that the proposed aggregation protocols demonstrate a better performance in the privacy preserving and the communication efficiency. This paper presents a hypothetical study, simulation testing using NS-2 Simulator and performance comparison of factors with proposed data aggregation algorithms. From the analysis it is observed that the proposed algorithm demonstrates a superior network life time and better energy consumption when compared to the other classical algorithms.