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An Optimized Fuzzy Based Ant Colony Algorithm for 5G-MANET

by R. Nithya1, K. Amudha2,*, A. Syed Musthafa3, Dilip Kumar Sharma4, Edwin Hernan Ramirez-Asis5, Priya Velayutham6, V. Subramaniyaswamy7, Sudhakar Sengan8

1 Department of Computer Science and Engineering, Vivekananda College of Engineering for Women, Tiruchengode, 637205, Tamil Nadu, India
2 Department of Electronics and Communication Engineering, Kongunadu College of Engineering and Technology, Thottiam, 621215, Tamil Nadu, India
3 Department of Information Technology, M. Kumarasamy College of Engineering, Karur, 639113, Tamil Nadu, India
4 Department of Mathematics, Jaypee University of Engineering and Technology, Guna, 473226, M.P., India
5 Business and Tourism Faculty, Universidad Nacional Santiago Antunez De Mayolo, Huaraz, Peru
6 Department of Computer Science and Engineering, Paavai Engineering College, Namakkal, 637018, Tamil Nadu, India
7 School of Computing, SASTRA Deemed University, Thanjavur, 613401, Tamil Nadu, India
8 Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, 627152, Tamil Nadu, India

* Corresponding Author: K. Amudha. Email: email

Computers, Materials & Continua 2022, 70(1), 1069-1087. https://doi.org/10.32604/cmc.2022.019221

Abstract

The 5G demonstrations in a business has a significant role in today's fast-moving technology. Manet in 5G, drives a wireless system intended at an enormously high data rate, lower energy, low latency, and cost. For this reason, routing protocols of MANET have the possibility of being fundamentally flexible, high performance, and energy-efficient. The 5G communication aims to afford higher data rates and significantly low Over-The-Air latency. Motivated through supplementary ACO routing processes, a security-aware, fuzzy improved ant colony routing optimization protocol is proposed in MANETs. The goal is to develop a MANET routing protocol that could provide a stable packet transmission ratio, less overhead connectivity, and low end-to-end latency in shared standard scenarios and attack states. MANET demonstrates effective results with hybrid architecture and proved to be effective than other state-of-the-art routing protocols of MANETs, like AODV, its routing organization implemented through Optimized Fuzzy based ACO Algorithm for 5G. Millimeter-wavelengths are required to perform a significant role in 5G. This research proposed to test the efficiency of MANET consisting of only mmWave User Equipment. MANET reduced packet transmission loss of UEs with mmWave, meaning well-transmitted SNR leads directly to a better packet delivery ratio. To verify results, simulation using the NS-3 simulator mmWave module is used.

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APA Style
Nithya, R., Amudha, K., Musthafa, A.S., Sharma, D.K., Ramirez-Asis, E.H. et al. (2022). An optimized fuzzy based ant colony algorithm for 5G-MANET. Computers, Materials & Continua, 70(1), 1069-1087. https://doi.org/10.32604/cmc.2022.019221
Vancouver Style
Nithya R, Amudha K, Musthafa AS, Sharma DK, Ramirez-Asis EH, Velayutham P, et al. An optimized fuzzy based ant colony algorithm for 5G-MANET. Comput Mater Contin. 2022;70(1):1069-1087 https://doi.org/10.32604/cmc.2022.019221
IEEE Style
R. Nithya et al., “An Optimized Fuzzy Based Ant Colony Algorithm for 5G-MANET,” Comput. Mater. Contin., vol. 70, no. 1, pp. 1069-1087, 2022. https://doi.org/10.32604/cmc.2022.019221

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cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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