A Secure and Energy Efficient Sensor Nodes in Wireless Sensor Networks using Improved Ant Lion Optimization
Anusuya Ramasamy1, J.R.Arunkumar2, M.Sundar Rajan3
1Dr. Anusuya Ramasamy*, Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
2Dr. J.R.Arunkumar, Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
3Dr. M.Sundar Rajan, Associate Professor, Faculty of Electrical and Computer Engineering, Arba Minch University Ethiopia.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2200-2205 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2858059120/2020©BEIESP | DOI: 10.35940/ijrte.A2858.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Wireless Sensor Network (WSN) has three critical issues as like network lifetime, saving energy and security. A sensor node has limited battery power so it does need an effective key distribution and management mechanism for a safe communication. In the research literatures a massive key supply and administration methodology had been proposed. Thus, there exists a literature report of numerous schemes in WSNs for Key management and done with a wide analysis to classify the available techniques of key management and the expectable network security on them is studied. In this method a secure efficient key management scheme is proposed with the help of Ant Lion Optimization (ALO) for WSN. The aim of this method is to obtain improved security strength with cost effective. The nature of the ant lion in hunting its prey is derived for the ALO algorithm which known for its meta-heuristic function. In resolving the optimization complications with the advantage of having a great speed and limited parameters it is proved to have a better performance.
Keywords: Ant Lion Optimization, Schemes, Evolutionary Algorithms, Energy Optimization, Key Management Wireless Sensor Network.
Scope of the Article: Wireless Sensor Network