Authenticated Energy Efficient Clustering Algorithm for secure transmission in Wireless Sensor Networks
V. Asanambigai1, A. Ayyasamy2
1V. Asanambigai*, Department of Computer Engineering, Government Polytechnic College, Perambalur, Tamil Nadu, India
2A. Ayyasamy, Department of Computer Engineering, Government Polytechnic College, Nagercoil, Tamil Nadu, India.
Manuscript received on December 17, 2019. | Revised Manuscript received on December 28, 2019. | Manuscript published on January 10, 2020. | PP: 111-116 | Volume-9 Issue-3, January 2020. | Retrieval Number: J99110881019/2020©BEIESP | DOI: 10.35940/ijitee.J9911.019320
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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: Authenticated energy consumption is the main criteria for constructing the Wireless Sensor Networks (WSNs). Every sensor has the dissimilar processing, communication range, memory unit. Each sensor node has restricted energy and memory. All the WSN based transmission architecture has the problem of authentication. The transmission overload and energy utilization have complex structure to perform the quality of service in WSN routing in a secure way. In spite of providing efficient communication for WSN, clustering approach is used to transmit the data packet from beginning node to the end node. Data gathering helps to organize the network and minimize the network overhead during data communication. Effective cluster head selection method is used for enhanced energy efficiency. Authenticated Energy Efficient Clustering Algorithm (AEEC) is proposed for efficient authenticated energy consumption-based routing methodology for WSN. The effective communication is performed by generating the authentication code within the sensor nodes to construct the innovative secured transmission based framework. The simulation results proved that the proposed method is implemented to reduce the energy consumption, routing overhead, end to end delay and increased amount of throughput compared to the other techniques.
Keywords: WSN, Cluster, Load balancing, Energy utilization.
Scope of the Article: Clustering