Optimasi Pemilihan Jalur dalam Jaringan Komunikasi Menggunakan Algoritma Rute yang Memperhitungkan Latensi, Throughput, dan Keberlanjutan Rute Sebuah Analisis Systematic Literature Review

This article presents a systematic review of routing algorithms used in optimizing route selection in communication networks, focusing on factors such as latency, throughput, and route sustainability. A total of 50 relevant articles were analyzed to evaluate the methods used, their main applications in Mobile Ad-hoc Networks (MANET) and Wireless Sensor Networks (WSN), as well as the challenges and solutions faced in the implementation of these algorithms. The analysis results show that Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) algorithms are still highly effective in enhancing the Quality of Service (QoS) of networks. However, algorithms based on Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) show great potential in tackling more complex challenges, especially in large and dynamic networks. This paper also identifies the need for further research on hybrid techniques and the appl