A Self-Similarity Frame Traffic Model Based on the Frame Components in 802.11 Networks
Computational Science and Engineering, 2009. CSE '09. International Conference（2009）
摘要
In this study, we analyze the impact of different types of frame traffic on the self-similar behavior of the aggregated frame traffic, collected from the IETF 2005 conference. Our measurement results show that the different types of frame traffic have various impacts on the self-similarity of the aggregated frame traffic in different session periods, and these impacts are simultaneously related with the mean frame size and proportion of the specified frame traffic. Furthermore, a model of self-similarity impact is proposed to describe the self-similarity characteristic relationship between the aggregated frame traffic and different types of frame traffic. This in-depth knowledge of 802.11 wireless network frame traffic can effectively improve the efficiency and performance of network planning, resource management and MAC-layer algorithms.
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关键词
frame components,ieee 802.11 wlans,frame traffic,802.11 wireless network,mean frame size,frame traffic characteristic,self-similarity characteristic relationship,different type,radio networks,resource management,self-similarity frame traffic,network planning,hurst parameter,aggregated frame traffic,telecommunication traffic,self-similarity impact,self-similarity frame traffic model,specified frame traffic,different session period,wireless lan,self-similarity,mac-layer algorithm,wireless network frame traffic,indexes,quality of service,resource manager,wireless network,mathematical model,wireless networks,self similarity,data mining
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