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Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol


Affiliations
1 Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
2 Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, India
3 Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, India
4 Maruthi Technocrat E Services, Chennai, Tamil Nadu, India
5 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India
 

Wireless Sensor Network (WSN) design to be efficient expects better energy optimization methods as nodes in WSN are operated only through batteries. In WSN, energy is a challenging one in the network during transmission of data. To overcome the energy issue in WSN, Taylor based Grey Wolf Optimization algorithm proposed, which is the integration of the Taylor series with Grey Wolf Optimization approach finding optimal hops to accomplish multi-hop routing. This paper shows the multiple objective-based approaches developed to achieve secure energy-aware multi-hop routing. Moreover, secure routing is to conserve energy efficiently during routing. The proposed method achieves 23.8% of energy, 75% of Packet Delivery Ratio, 35.8% of delay, 53.2% of network lifetime, and 84.8% of scalability.

Keywords

Taylor Series, Grey Wolf Optimization, Multi-hop Routing, Energy Efficiency, Security
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  • Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol

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Authors

Robbi Rahim
Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
S. Murugan
Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, India
S. Priya
Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, India
S. Magesh
Maruthi Technocrat E Services, Chennai, Tamil Nadu, India
R. Manikandan
School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

Abstract


Wireless Sensor Network (WSN) design to be efficient expects better energy optimization methods as nodes in WSN are operated only through batteries. In WSN, energy is a challenging one in the network during transmission of data. To overcome the energy issue in WSN, Taylor based Grey Wolf Optimization algorithm proposed, which is the integration of the Taylor series with Grey Wolf Optimization approach finding optimal hops to accomplish multi-hop routing. This paper shows the multiple objective-based approaches developed to achieve secure energy-aware multi-hop routing. Moreover, secure routing is to conserve energy efficiently during routing. The proposed method achieves 23.8% of energy, 75% of Packet Delivery Ratio, 35.8% of delay, 53.2% of network lifetime, and 84.8% of scalability.

Keywords


Taylor Series, Grey Wolf Optimization, Multi-hop Routing, Energy Efficiency, Security

References





DOI: https://doi.org/10.22247/ijcna%2F2020%2F196041