期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：8
页码：203-213
出版社：International Journal of Computer Science and Network Security
摘要：In wireless networks when there are multiple paths from the source to destination, the network capacity should be enhanced in accordance with the growing demand of network resources. The throughput is a basic element in this situation. To achieve a maximum throughput, an efficient algorithm that can give high-performance, scalability and optimized routing using multi-channels is needed. To achieve these objectives, an Artificial Intelligence (AI)-based algorithm named Throughput Enhancement Algorithm for Multi-channels (TEAM) is designed. TEAM will contribute to the existing knowledge on how much network throughput can be enhanced using an AI routing mechanism. The proposed TEAM algorithm code was implemented in MATLAB to check the enhancement and learning in a network traffic throughput. In each experiment, the values of metrics were changed to determine the behavior of the network under different situations. Results show that an increase of a single iteration, there is 2% increase in throughput, and an increase of 50 iterations, the routing cost decreases by 100%, returning to its previous results. The results show that by using the TEAM algorithm, a wireless network can manage resources in a better way and increase the throughput of the network by selecting the best available path. The TEAM algorithm automatically manages routes in a network and optimizes the incoming traffic of a network. To validate our results, we compared our results with those of an existing ant colony optimization algorithm. The simulation results of the TEAM algorithm show that it is flexible and can equally fit in small and large-scale networks.
