An Analytical Model with Improved Accuracy of IEEE 802.11 Protocol Under Unsaturated Conditions

Abstract

In this paper the authors present an analytical model that -compared to previously published work -more accurately captures the delay of IEEE 802.11 protocol under low, medium, and near-saturation load conditions. A Markov chain is used to keep track of the instantaneous number of (active) nodes that have a frame to transmit. One advantage of the proposed analytical model is its ability to estimate the IEEE 802.11 protocol latency and delivery ratio in the presence of quality of service (QoS) classes, each class being defined by a specific maximum retransmission count. Such QoS classes can be adopted to support real time applications for which both latency and delivery ratio must be closely monitored for satisfactory operation.

Modeling and simulation of the IEEE 802.11e wireless protocol with hidden nodes using Colored Petri Nets

“…In addition, Tables 11 and 13 contain the corresponding standard deviations and confidence intervals for the main metrics. In the absence of RTS/CTS, Table 10 depicts that the priority mechanism can provide a better service for the VO traffic when a short packet is preferred (scenarios [21][22][23][24][25]. In all of these scenarios, except for scenario 21, the number of transmitted VO packets is higher than the number of transmitted BK packets.…”

“…A huge body of research has been devoted to study this issue using either simulation and experimentation [16][17][18][19], or analytical models aiming at shedding some light to the problem without involving costly and lengthy simulations that may not be able to collect all the hidden insights of the evaluated scenarios. Many of these analytical works are based on stochastic models, and especially on Markov chains [20][21][22][23][24], as well as on Petri Nets (PNs) models [7,25,26].…”

Bandwidth mapping model for IEEE 802.11 DCF in unsaturated condition

“…11 DCF in unsaturated conditions. An analytical model for IEEE 802.11 under unsaturated conditions was presented in [9] with analysis of single-hop latency and delivery ratio in the presence of quality of service classes. A model was presented by [10] to measure the effects of packet error, network size, initial contention window and retry limit, which is useful in network design and planning.…”