An Optimized Fuzzy Based Ant Colony Algorithm for 5G-MANET
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Mobile Ad Hoc Networks · Cooperative Communication and Network Coding · Opportunistic and Delay-Tolerant Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
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