Affiliations: [a]
Department of Information Technology, St. Xavier’s Catholic College of Engineering, Tamil Nadu, India
| [b]
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu, India
Correspondence:
[*]
Corresponding author. D. Hevin Rajesh, Assistant Professor, Department of Information Technology, St. Xavier’s Catholic College of Engineering, Tamil Nadu, India. E-mail:hevinrajeshphd@gmail.com.
Abstract: In cluster based wireless sensor networks the existing technique does not offer security to the cluster head. The communication between the cluster head and the sink is not secured. Also, the technique to prevent malicious cluster head is not provided. In this paper, we propose to design a cluster based secure authentication technique based on ant colony optimization in wireless sensor networks. Initially the sensor nodes are authenticated before they are deployment in the network. The authenticated sensor node with maximum energy and trust value is selected as Cluster Head (CH). The distance among the cluster member and cluster head is estimated using the ant colony optimization (ACO) technique. The estimated distance, trust value and energy consumed by each cluster member are taken as input over fuzzy logic technique to select the secure node for data aggregation. The aggregated data is delivered from the CH to the Base Station (BS) attached with a message authentication code (MAC). By simulation results, we show that the proposed technique improves the secured data communication in the network.
Keywords: Ant colony optimization (ACO) technique, WSN, cluster based secure authentication technique, message authentication code, clustering
