The Open Electrical & Electronic Engineering Journal
2018, 12 : 1-11Published online 2018 February 12. DOI: 10.2174/1874129001812010001
Publisher ID: TOEEJ-12-1
RESEARCH ARTICLE
Formulizing the Fuzzy Rule for Takagi-Sugeno Model in Network Traffic Control
* Address correspondence to this author at the Department of Communications and Electronic Engineering, Philadelphia University, Amman, Jordan; Tel: 0798961365; E-mail: malhihi@philadelphia.edu.jo
ABSTRACT
Background:
Nowadays, fuzzy logic theory is a popular approach to control network variables in engineering problems such as computer and communication networking. In this research, we formulize a new fuzzy logic-based rule for an important engineering application, i.e., traffic control of communication networks.
Method:
In this regard, we propose a new formulization based on a well-known model of traffic control in the networks entitled Takagi-Sugeno. Towards this modeling, we use a typical Fuzzy Neural Network (FNN) with an optimizer based on Genetic Algorithm (GA).
Conclusion:
The simulation results of our new model clearly prove that the proposed model and its formulation are approximately according to a theoretically consumed model for the problem. In details, we suppose two arbitrary examples for the problem which have two different assumed solutions, and then, we try to resolve the problem for both conditions based on the model in which the simulations show relatively similar results for both simulation-based and theoretical results in both examples.