Babu, T G and Jayalakshmi, V (2022) Conglomerate Energy Efficient Elgamal Encryption Based Data Aggregation Cryptosystems in Wireless Sensor Network. International Journal of Engineering, 35 (2). pp. 417-424. ISSN 1728144X
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Abstract
Wireless sensor networks (WSN) are growing rapidly sincethe past decade mainly due to its efficiency and Ad-Hoc feature. The data aggregation has been extensively employed in WSN that also impact on the data transferring between the sensor nodes. The security issues, data integrity and confidentiality become vital during the deployment of sensor network in a hostile environment. The entire network comprises of sensors, base stations, gateways and nodes which are connected for the purpose of digital transmission. Many existing works have been evolved to address the security issues in WSN but all
focused only on basic security features but lack to obtain reliable and effective results in terms of
parameters like energy consumption, packet delivery ratio, and computational cost. This paper focussed
on the primary research area of data aggregation and the mode of transmission in an energy efficient way
without congestion. To obtain the objective, an integration of Conglomerate ElGamal energy efficient protocol has been employed and the performance of the proposed system are evaluated. Since the resource constraint nodes of the wireless sensor network requires less energy to cope up with limited battery power, the main purpose of the work is to build an efficient security mechanism that enhances
the performance of the network with less energy, minimum delay, and maximum throughput. The performance parameters like packet delivery ratio, throughput, estimation of alive nodes and dead nodes for different rounds has been performed in the study. Furthermore, the effectiveness of the proposed
system has been compared with state of art methods in terms of residual energy and depicted that deliberates the superior performance of the presented framework.
Item Type: | Article |
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Subjects: | Computer Applications > Computer Networks |
Divisions: | Computer Applications |
Depositing User: | Mr IR Admin |
Date Deposited: | 10 Sep 2024 04:48 |
Last Modified: | 10 Sep 2024 04:48 |
URI: | https://ir.vistas.ac.in/id/eprint/5358 |