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

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