Swarm intelligence based secured data aggregation in wireless sensor networks

Wireless sensor network (WSN) consists of a variety of sensing elements deployed indiscriminately and enormous scale. This can build an outsized variety of redundant sensory information. Transmission of such redundant data saturates network resources and it additionally consumes nodes energy. Data aggregation is an effective technique to reduce the amount of packets to be sent to sink to increase the life time of WSN. The lifetime of the WSN relies upon node´s Energy. Using the Genetic algorithmic program (GA), the energy efficient data aggregation spanning trees is made to induce an acceptable route that balances the data load throughout the mesh that balances the residual energy within the network. After determining the route, the information from the nodes is collected using (Artificial Bee Colony algorithm) Mobile agents. Providing accurate data are also necessary in Wireless sensor Networks (WSNs). Proposed Secured Hybrid (GA-ABC) Data Aggregation Tree (SHDT) is for raising the energy efficiency of a network. Simulation results indicate that this operation practically will increase the network lifetime.