Hybrid Data Aggregation Algorithm for Energy Efficient Wireless Sensor Networks

The Wireless sensor networks are pertained in several applications like agriculture, security areas that the node density for the gathered data through the various types of sensor which has the problem of redundancy and it must be avoided through data aggregation technique. This paper demonstrates the Hybrid Data Aggregation Algorithm (HDAA) for providing data processing in real-time. Initially, the network is constructed into cluster members that the cluster head has been elected according to the ranking of the sensors according to the location from the base station, energy level. The aggregation is applied to the real-time application that every sensor node has been prioritized in energy-efficient way. The simulation results prove that the proposed technique reduces the energy consumption and communication delays which automatically enhancing the network lifetime.