Network congestion is a major problem in all network environments as such it calls for ways to manage this problem. In this paper, we propose a Fuzzy Regulator Effective Random Early Detection (FRERED) system, which is an intelligent fuzzy logic based controller technique for early stage congestion detection, at the router buffer in the networks. The proposed technique extends the Fuzzy-Based system in the Fuzzy Hybrid ERED algorithm by considering the delay variable in its inference system to ease the problem of parameter initialization and parameter dependency. Unlike the Fuzzy-Based controller in the existing Fuzzy Hybrid ERED system which uses two parameter settings in its inference system that is, the queue size and average queue length in computing the dropping probability of packets. The proposed technique uses the queue size, average queue length and the delay approximation as input variables in computing the packet drop probability. The applied fuzzy logic system yields an output that denotes a packet dropping probability, which in turn controls and prevents congestion in early stage. This was achieved after simulating the proposed technique and the existing Fuzzy-Based controller using Matlab. The results obtained shows that this approach results in less packet drops for about the same link utilization as the existing Fuzzy-Based controller. Therefore, this technique, generally, controls network congestion and improves network performance. The methodology used to achieve this is the object oriented methodology and JAVA programming language was used to develop the system.
Congestion has posed a big problem in (ATM) network. Every network user encounters congestion issues. In terms of network, congestion is unpredictable; it can be caused by traffic or too many data that cluster together in the system. In telecommunication, congestion occurs when more users access the network; during the peak period when the control channel is congested as such call cannot be establishment between the sender and receiver. In this paper, fuzzy logic and the proposed parameter called call completion success rate was used to regulate the network instability in Asynchronous Transfer Mode. It was observed that the call completion success rate enabled users to make calls without distortion of network. Comparison was made between fuzzy logic and call completion success rate. It was observed that, congestion load environment 4 has a value for mean bit rate as 1.4, mean burst as 1.4, state of network as 0.94 and retainability 0.9222 the last two are positive. The output signal to the service rate is 0.99 also positive. This implies that, the service rate should be free for calls to flow. The simulation results, shows ways of controlling congestion in ATM Network. The methodology adopted is Object Oriented Analysis and Design Methodology. It was implemented using Java Programming language and Matlab.
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