Call Admission Control for ATM System using Fuzzy Control Approach

H. El-Madbouly, Mohamed Hamdy
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Abstract

In estimating cell loss probability (CLP) and mean cell delay which are often specified to be less than 10-9 and less than 10 musec respectively. Fuzzy based control techniques have been introduced to be more promising over crisp statistical techniques. In this paper a novel fuzzy logic algorithm has been proposed to estimate CLP and the mean cell delay in the real time for self-similar ATM networks. The proposed fuzzy approach is validating by comparing the estimated values of CLP and delay with the theoretical values. The new approach not only estimates accurate real time CLP and delay, but also achieves it by using fewer theoretical data
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基于模糊控制的ATM系统呼叫接纳控制
在估计细胞损失概率(CLP)和平均细胞延迟时,通常分别规定小于10-9和小于10 μ c。基于模糊的控制技术被认为比清晰的统计技术更有前途。本文提出了一种新的模糊逻辑算法来实时估计自相似ATM网络的CLP和平均单元延迟。通过将CLP和延迟的估计值与理论值进行比较,验证了所提模糊方法的有效性。该方法不仅可以准确地估计实时CLP和延迟,而且可以用较少的理论数据实现
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