An accurate two dimensional Markov chain model for IEEE 802.11n DCF
| Autor: | Maher Ben Jemaa, Issam Jabri, Nasreddine Hajlaoui |
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| Rok vydání: | 2016 |
| Předmět: |
IEEE 802
Markov chain Computer Networks and Communications Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Real-time computing 020206 networking & telecommunications 020302 automobile design & engineering Throughput 02 engineering and technology Network allocation vector Distributed coordination function Network simulation Frame aggregation 0203 mechanical engineering Packet loss 0202 electrical engineering electronic engineering information engineering Wireless Electrical and Electronic Engineering business Algorithm Information Systems Communication channel |
| Zdroj: | Wireless Networks. 24:1019-1031 |
| ISSN: | 1572-8196 1022-0038 |
| DOI: | 10.1007/s11276-016-1383-z |
| Popis: | According to the amendment 5 of the IEEE 802.11 standard, 802.11n still uses the distributed coordination function (DCF) access method as mandatory function in access points and wireless stations (essentially to assure compatibility with previous 802.11 versions). This article provides an accurate two dimensional Markov chain model to investigate the throughput performance of IEEE 802.11n networks when frame aggregation and block acknowledgements (Block-ACK) schemes are adopted. Our proposed model considered packet loss either from collisions or channel errors. Further, it took anomalous slots and the freezing of backoff counter into account. The contribution of this work was the analysis of the DCF performance under error-prone channels considering both 802.11n MAC schemes and the anomalous slot in the backoff process. To validate the accuracy of our proposed model, we compared its mathematical simulation results with those obtained using the 802.11n DCF in the network simulator (NS-2) and with other analytical models investigating the performance of 802.11n DCF. Simulation results proved the accuracy of our model. |
| Databáze: | OpenAIRE |
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