International Journal of Computer Networks and Applications

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Hybrid Simulated Annealing with Lion Swarm Optimization Algorithm with Modified Elliptic Curve Cryptography for Secured Data Transmission Over Wireless Sensor Networks (WSN)


Affiliations
1 Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
2 Department of Computer Science, Periyar University Constituent College of Arts and Science, Harur, Dharmapuri, Tamil Nadu, India
 

The security of data processing has become an important factor in the present scenario due to the rapid growth of the internet. Especially, Wireless Sensor Networks (WSNs) face complicated challenges in their vulnerable corrupted sensor nodes. In the earlier work, Enhanced Lion Swarm Optimization Algorithm and Centralized Authentications (ELSOA-CAs) scheme has been proposed for achieving ideal, quicker, and energy efficient data transmissions. But, in the earlier work, a congestion-aware multipath routing mechanism is not considered. Moreover, for the bigger file, the security is not still strong. This security issue is addressed in the proposed work by using Hybrid Simulated Annealing with Lion Swarm Optimization and Centralized Authentication (HSALSO-CA) mechanisms. In the proposed technical work, optimum, quicker, and energy-efficient data transmission is highlighted to guarantee that the decision-making regarding tomato crops is achieved with accuracy. In this research work, multipath routing is presented to ensure that the data transmission is accelerated. In this work, rapid multipath routing is formulated by choosing the best forwarder nodes that meet limitations such as delay and energy. Optimal Forwarder Node Selection employing Hybrid Simulated Annealing with Lion Swarm Optimization Algorithm (HSALSOA) is used. The Simulated Annealing algorithm is hybridized as it emphasizes optimal local and global search capability for the bigger network. Secured data transmission employing Modified Elliptic Curve Cryptographies (MECCs) algorithm guarantees increased security for congestion-sensitive multipath routing mechanisms. It is proven from the simulation outcomes that the proposed ELSOA-CA model yields superior performance in terms of enhanced throughputs, elongated network lives with reduced utilization of energies, and delays in contrast to available techniques.

Keywords

Aggregation, Security, Lion Swarm Optimization, Forwarder Nodes, Centralized Authentication, Secured Data Transmission.
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  • Hybrid Simulated Annealing with Lion Swarm Optimization Algorithm with Modified Elliptic Curve Cryptography for Secured Data Transmission Over Wireless Sensor Networks (WSN)

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Authors

S. Silambarasan
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
M. Savitha Devi
Department of Computer Science, Periyar University Constituent College of Arts and Science, Harur, Dharmapuri, Tamil Nadu, India

Abstract


The security of data processing has become an important factor in the present scenario due to the rapid growth of the internet. Especially, Wireless Sensor Networks (WSNs) face complicated challenges in their vulnerable corrupted sensor nodes. In the earlier work, Enhanced Lion Swarm Optimization Algorithm and Centralized Authentications (ELSOA-CAs) scheme has been proposed for achieving ideal, quicker, and energy efficient data transmissions. But, in the earlier work, a congestion-aware multipath routing mechanism is not considered. Moreover, for the bigger file, the security is not still strong. This security issue is addressed in the proposed work by using Hybrid Simulated Annealing with Lion Swarm Optimization and Centralized Authentication (HSALSO-CA) mechanisms. In the proposed technical work, optimum, quicker, and energy-efficient data transmission is highlighted to guarantee that the decision-making regarding tomato crops is achieved with accuracy. In this research work, multipath routing is presented to ensure that the data transmission is accelerated. In this work, rapid multipath routing is formulated by choosing the best forwarder nodes that meet limitations such as delay and energy. Optimal Forwarder Node Selection employing Hybrid Simulated Annealing with Lion Swarm Optimization Algorithm (HSALSOA) is used. The Simulated Annealing algorithm is hybridized as it emphasizes optimal local and global search capability for the bigger network. Secured data transmission employing Modified Elliptic Curve Cryptographies (MECCs) algorithm guarantees increased security for congestion-sensitive multipath routing mechanisms. It is proven from the simulation outcomes that the proposed ELSOA-CA model yields superior performance in terms of enhanced throughputs, elongated network lives with reduced utilization of energies, and delays in contrast to available techniques.

Keywords


Aggregation, Security, Lion Swarm Optimization, Forwarder Nodes, Centralized Authentication, Secured Data Transmission.

References





DOI: https://doi.org/10.22247/ijcna%2F2022%2F212557