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

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 aMANET 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
withmmWave,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