Bandwidth Management with Congestion Control Approach and Fuzzy Logic

One of the problems with today's TCP/IP networks is their transmission system. If the bandwidth of a network is full, human and physical factors must be used for a new transmission system with a higher capacity to provide its bandwidth, which is very time consuming and costly. In this article, we proposed a method that in addition to the optimal use of available bandwidth, if the network capacity is full, it will be automatically transferred to a higher bandwidth network. For this purpose first, by designing a fuzzy PID controller for the existing network, it is tried to congestion control them and make use of it. It can be seen that the proposed controller performs much better in terms of an output response, following the queue length, stability and uncertainly, compared to the classical controller. If the input data to the network is increased, more packets are lost and this reduces the quality of the network. To solve this problem by using bandwidth management, by considering the threshold for packets loss in each network, if exceeding this limit, the existing network is switched to a network with a higher capacity and the problem of bandwidth and network quality is solved and causes subscriber satisfaction.

Keywords:

TCP/IP networks , Congestion Control , fuzzy PID controller , Bandwidth management