Analysis of frame traffic characteristics in IEEE 802.11 networks

Author

Zhang, Ke ; Ge, Xiaohu ; Liu, Chuang ; Xiang, Lin

Author_Institution

Dept. Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2009

fDate

26-28 Aug. 2009

Firstpage

1

Lastpage

5

Abstract

Lots of works have showed that the wireless LAN frame traffic is self-similar and obeyed in the heavy-tailed distribution. This paper analyzes a frame traffic data collected from real IEEE 802.11 networks, and studies the impacts of each type of frame traffic (management frame traffic, control frame traffic, data frame traffic, and retransmission frame traffic) on characteristics of self-similarity and burstiness in the total frame traffic by estimating ldquoimpact indexrdquo. The results show that control frame traffic, data frame traffic and retransmission frame traffic in wireless LANs strengthen characteristics of self-similarity and burstiness in the total frame traffic, however, the management frame traffic has various impacts on the total frame traffic in different session periods.

Keywords

telecommunication traffic; wireless LAN; IEEE 802.11 networks; burstiness; control frame traffic; data frame traffic; frame traffic characteristics; heavy-tailed distribution; impact index; management frame traffic; retransmission frame traffic; self-similarity; wireless LAN; Communication system traffic control; Data communication; Guidelines; Intelligent networks; Stochastic processes; Telecommunication traffic; Throughput; Traffic control; Wireless LAN; Wireless networks; IEEE 802.11; burstiness; frame traffic; heavy-tailed distribution; self-similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking in China, 2009. ChinaCOM 2009. Fourth International Conference on

Conference_Location

Xian

Print_ISBN

978-1-4244-4337-6

Electronic_ISBN

978-1-4244-4337-6

Type

conf

DOI

10.1109/CHINACOM.2009.5339870

Filename

5339870