Modeling and enhancement of the IEEE 802.11 RTS/CTS scheme in an error-prone channel

Abstract

In this paper, we present a new discrete time Markov chain model to estimate the packet transmission probability τ, in order to develop mathematical models to derive the saturation throughput and the average packet delay of a 802.11 wireless LAN based on the RTS/CTS access method in the presence of noise, which distorts transmitted frames. Besides the standard backoff rule of the 802.11, Distributed Coordination Function assumes that each loss in the network is caused only by collision and acts to treat this situation by delaying the retransmission of the lost packet. We propose an enhancement of the IEEE 802.11 RTS/CTS scheme to recognize the reason of a transmission failure (collision or noise errors). Thus, the data packet is immediately retransmitted with zero-waiting time if a failure happens due to distortion by noise. This retransmission continues until the data packet is successfully transmitted or it is dropped when the number of packet transmission retries attains its limit. After that, we model the enhanced RTS/CTS scheme using a four-dimensional Markov model and we compare its performance with the actual RTS/CTS scheme.

Performance Evaluation of RTS/CTS Scheme in Beacon-Enabled IEEE 802.15.6 MAC Protocol for Wireless Body Area Networks

“…By analyzing the signal strength of nodes in a 3D simulation environment, they concluded that the proposed scheme has effective throughput performance compared with that of the standard model. The authors of [25] improved the conventional RTS/CTS scheme proposed for IEEE 802.11 in order to classify why some transmission fail. According to the proposed model, the packets are immediately transmitted after failure due to noise.…”

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

“…However, they were a solid starting point for further research. Most of all, they resolved the complicated problem of representing multiple states of the channel access procedure by using Markov chains (see Kosek-Szott et al, 2011;Yazid et al, 2014aYazid et al, , 2014bYazid et al, , 2015b. In this area, Kong et al (2004) presented an analytical model of the IEEE 802.11e EDCA taking into account AIFS and CW.…”