2006
DOI: 10.1016/j.comnet.2005.04.004
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A queueing model for HTTP traffic over IEEE 802.11 WLANs

Abstract: We consider an IEEE 802.11 based wireless LAN where an access point is used to connect a fixed number of users to the Web or to a shared file system. Users alternate between activity periods (corresponding to the download of a file) and idle periods (corresponding to think times). We first consider the interaction of TCP with the IEEE 802.11 MAC protocol, and get approximate expressions for the TCP throughput in the presence of n c competing persistent connections. This result is then used to develop a queuein… Show more

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Cited by 55 publications
(51 citation statements)
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“…Before concluding this review of related work, it is useful to notice that alternative approaches have been proposed to model the interactions of TCP with the IEEE 802.11 MAC protocol. A simpler analysis is conducted in [33], where the statistics of the number of stations with nonempty buffers are obtained by assuming that they follow a Bernoulli distribution law.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Before concluding this review of related work, it is useful to notice that alternative approaches have been proposed to model the interactions of TCP with the IEEE 802.11 MAC protocol. A simpler analysis is conducted in [33], where the statistics of the number of stations with nonempty buffers are obtained by assuming that they follow a Bernoulli distribution law.…”
Section: Related Workmentioning
confidence: 99%
“…However, this is not seen as a limitation because previous work [13] and the outcomes of our experiments show that packet losses may be negligible in high-speed WLANs with a limited channel interference. In addition, many of our modeling assumptions are commonly adopted in previous papers [30], [32], [33] on analyzing the TCP dynamics in 802.11 WLANs.…”
Section: Modeling Assumptionsmentioning
confidence: 99%
“…Hence the number of STAs that are active with a high probability is insensitive to N for large N . See also [4], [18]. Hence with the above observations and assumptions, S k is modeled as a Markov chain, over all nonnegative integers.…”
Section: The Mathematical Model and Its Analysismentioning
confidence: 99%
“…Then we need to find the AP service rate (μ) In table 1, we define the IEEE 802.11b parameter value that will be used in our simulation and then we calculate the AP service rate based on the defined parameter value. The AP service rate (μ), TCP data transmission time (T TCP data ), and TCP ACK transmission time (T TCP ACK ) are as follows [6].…”
Section: Calculating Maximum Window Sizementioning
confidence: 99%