Design and Optimization of Adaptive Network Coding Algorithms for Wireless Networks

This paper specializes in the layout and optimization of adaptive community coding algorithms for WiFi networks. The goal of those algorithms is to maximize the performance of network transmissions at the same time as heading off collisions and losses. We analyze the performance of numerous current network coding algorithms, examine their strengths and weaknesses and advocate techniques to optimize their performance. We also increase and compare new algorithms based on the adaptive network coding method. Those algorithms are designed if you want to mechanically adapt to the environment and take full benefit of the available assets to maximize the overall network’s performance. The results of our simulations endorse that the proposed adaptive network coding algorithms outperform conventional network coding algorithms in phrases of both throughput and latency. We further propose an optimized model of our adaptive network coding algorithms and evaluate its performance to that of the unique algorithms. Our results demonstrate significant performance profits in terms of both throughput and latency.