Double Cluster Head Based Reliable Data Aggregation for Wsn
D. Suresh, K. Selvakumar, Annamalai Nagar · 2015
In Wireless Sensor Network (WSN), sensors are deployed to collect the data and send them to the base station. During data aggregation, the collected data is merged before sending it to the base station. Since a node is typically deployed in locations that are accessible to malicious attackers, information guarantee of the data fusion process is important. To keep the nodes safe from the attacks, Double Cluster Head based Reliable Data Aggregation for WSN approach has been proposed in this paper. In this approach, the two cluster heads namely main and sub-ordinate cluster heads are selected based on the parameters such as residual energy, minimum average distance from the member, nodes timer and node degree using particle swarm optimization technique. Then a direct voting approach is implemented, where the nodes act as witness nodes which help the base station to verify the data and find if any node is affected in the network. Results show that in the proposed aggregation technique, the attackers could compromise 1% of all packets, but because of DCRDA 50% of corrupt packets are identified.