SIDA—Secure and Intelligence Data Aggregation in Wireless Sensor Networks

Wireless sensor networks are authorized to collect huge data and transmit them in an environment monitoring specific application. Therefore, mitigating redundant data and protecting sensitive information are challenging tasks. The existing algorithms in wireless sensor networks utilized cosine similarity scheme to train nodes to form cluster and redundant data elimination and aggregates data. The proposed protocol, secure and intelligence data aggregation, focuses on providing training to sensor nodes, to dynamically form the clusters as per the network requirements. The protocol concentrates on eliminating outliers and redundant data but protects the sensitive data. This protocol mitigates false data injection in the network. Thus, secure and intelligence data aggregation protocol is simulated with NS2 network simulator, and results show achievement in maximizing network lifetime, maximizing throughput, data accuracy and cluster accuracy.