Performance analysis of multiple access protocols
Performance analysis of multiple access protocols
Data networks
Multiple access protocols: performance and analysis
Multiple access protocols: performance and analysis
MACAW: a media access protocol for wireless LAN's
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
A capacity analysis for the IEEE 802.11 MAC protocol
Wireless Networks
Performance analysis under finite load and improvements for multirate 802.11
Computer Communications
Analyzing the hidden-terminal effects and multimedia support for wireless LAN
Computer Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism
IEEE Journal on Selected Areas in Communications
Analysis of collision probability in unsaturated situation
Proceedings of the 2010 ACM Symposium on Applied Computing
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Modelling and performance analysis of Medium Access Control (MAC) protocols in Wireless Local Area Networks (WLANs) has attracted lots of research efforts recently. Although many analytical models for IEEE 802.11 Distributed Coordination Function (DCF) have been reported, most existing studies have not considered traffic dynamics but concentrated on its throughput performance under the saturation condition, assuming that there are always packets available for transmission in each station and thus simplifying the analytical modelling and derivation. The comprehensive performance study under non-saturated traffic situations is still an open problem. In this paper, we propose an analytical performance model for IEEE 802.11 DCF protocol using multidimensional discrete-time Markov chain and Equilibrium Point Analysis (EPA), and present how to model the binary backoff scheme under more flexible traffic sources. We validate the accuracy of the model by comparing the analytical results with those obtained from simulation experiments. Finally, we use the proposed model to investigate the impact of different parameter settings on the performance of this protocol and present some valuable results.