There are different data aggregation techniques according to the requirements.
Different algorithms employed for data aggregation include LEACH, TAG, Directed diffusion.
The main aim of data aggregation in WSN is to cut down the power consumption.
Not only this, it also improves the energy utilization and bandwidth in WSN.
The importance of clustering lies in the fact that it can improve the lifetime of a network.
It is a good area for thesis report on the wireless sensor network.
The main limitation of this algorithm is the extra overhead at the member nodes.
Load Balancing in WSNEnergy consumption is high due to the number of nodes in the network. A number of experiments have been conducted to ensure energy consumption and predict the error rate in the network. Black hole Attack in WSNIt is one of the major security threats in the wireless sensor network.
The route is selected on the basis of the type of network, channel characteristics, and performance metrics.
Based on the underlying structure there are different routing techniques and protocols.