A Markovian Framework for Performance Evaluation of IEEE 802.11

A Markovian Framework for Performance Evaluation of IEEE 802.11

A new approach for modeling and performance analysis of the IEEE 802.11 medium access control (MAC) protocol is presented. The approach is based on the so-called system approximation technique, where the protocol service time distribution of the IEEE 802.11 MAC protocol is studied and approximated b...

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Veröffentlicht in:IEEE transactions on wireless communications 2007-04, Vol.6 (4), p.1276-1265
Hauptverfasser: Foh, C.H., Zukerman, M., Tantra, J.W.
Format: Artikel
Sprache:eng
Schlagworte:
Access control
Access methods and protocols, osi model
Access protocols
Analytical models
Applied sciences
Approximation
Arrivals
Bursting
Business and industry local networks
Computer simulation
Exact sciences and technology
IEEE 802.11 Standards
Markov processes
Mathematical analysis
Media Access Protocol
Multiaccess communication
Networks and services in france and abroad
Performance analysis
Queueing analysis
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Traffic control
Valuation and optimization of characteristics. Simulation
Wireless application protocol
Wireless communication
Wireless LAN
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Beschreibung
Zusammenfassung:A new approach for modeling and performance analysis of the IEEE 802.11 medium access control (MAC) protocol is presented. The approach is based on the so-called system approximation technique, where the protocol service time distribution of the IEEE 802.11 MAC protocol is studied and approximated by an appropriate phase-type distribution, leading to the construction of a versatile queueing model which is amenable to analysis and, at the same time, general enough to allow for bursty arrival process as well as key statistical characteristics of the protocol operations. The versatility of the model is demonstrated by considering Markov modulated and on/off arrival processes as well as various data frame size distributions. The accuracy of the analytical results is verified by simulation.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2007.348324