A Literature Review to Identify Research Opportunities for IP Network Optimization based on Bio Inspired Algorithm
Adian Fatchur Rochim, Kusnadi, Rinta Kridalukmana, Kurniawan Teguh Martono, Adnan Fauzi · 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) · 2021
To maintain a stable network interconnection in the Internet, IP network plays a critical role. The most common issues in IP network are unbalanced network workload and network attacks which can reduce the network performance. To mitigate such problems, network optimization can be one solution. This paper conducts a literature review to present research opportunities to solve network optimization problems in IP network using algorithms inspired by nature (referred to as bio inspired algorithm) which are widely known to solve complex human discovery problems. As a result, this paper found that only 11% of previous works that used bio inspired algorithms for network optimization such as ant colony optimization algorithm, genetic algorithm, particle swarm optimization algorithm, and fish swarm algorithm. Hence, bio-inspired-algorithm-based solutions for optimization in IP network are still promising. Improving network optimization is critical to enhance communication speed and stability over internet.