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標題Title: Adaptive Statistical Sampling of VOIP Traffic in WLAN and Wired Networks Using Fuzzy Inference System
作者Authors: 胡育嘉
上傳單位Department: 電機工程系
上傳時間Date: 2011-12-30
上傳者Author: 胡育嘉
審核單位Department: 電機工程系
審核老師Teacher: 邱俊賢
檔案類型Categories: 課堂報告In-class Report
關鍵詞Keyword: fuzzy system
摘要Abstract: Real-time audio and video applications generate vast amount of data in form of information packets. The collection and processing of all these packets in real time are not practically feasible. Therefore, an appropriate sampling technique is required in order to reduce the amount of collected data and their processing. In this paper, a statistical adaptive sampling technique to adjust sampling rate based on the traffic's statistics was developed using a Fuzzy Inference System (FIS). The FIS determined the sampling rate by using a set of rules to interpret statistical variations in Quality of Service (QoS) parameters.

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2011_12_611e134c.ppt 1544Kb ppt 162 38
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