A Frame Traffic Control Algorithm for IEEE802.11 WLAN
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
An adaptive hybrid dynamic power management algorithm for mobile devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
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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.