Implementing Elliptic Curve Cryptography with ACO Based Algorithm in Clustered WSN for Border Surveillance

• Published in: 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) pp. 1 - 5
• Main Authors: Malathy, S., Geetha, J., Suresh, A., Priya, S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2018
• Subjects: Active node; Ant colony optimization; clustered WSN; energy aware scheduling; TDMA
• DOI: 10.1109/AEEICB.2018.8480856

Monitoring security at the border and prevention of intruders attack are the challenging problems in every developed country. Wireless sensor network are the effective solution for constructing the monitoring system which possess a sensor nodes deployed randomly to detect any objects or events crossing in a particular region. Power conservation is the major criteria in wireless sensor network as the sensor nodes that are battery powered once deployed cannot be recharged in the field. This paper is focused on two major concepts for efficient detection of intruders with secured and efficient transmission by enhancing the network lifetime. In this work, an enhanced energy aware clustering algorithm by Ant approach (ACO) is used to detect any events or objects by balancing the power at each sensor nodes and also to maximize the lifetime of the network. Authentication is done by implementing Elliptical Curve Cryptography which provides keys for limited and authorized users for efficient and secured data transmission in WSN.