On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
This paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated tra...
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doaj-27d22cb615c14d16ac44c5535a5bdb6c2020-11-24T22:32:39ZengHindawi LimitedInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/397824397824On the Optimization of the IEEE 802.11 DCF: A Cross-Layer PerspectiveMassimiliano Laddomada0Fabio Mesiti1Electrical Engineering Department, Texas A&M University-Texarkana, Texarkana, TX 75505, USADELEN, Politecnico di Torino, 10129 Torino, ItalyThis paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated traffic in the presence of transmission channel errors, as exemplified by the packet error rate 𝑃𝑒. The main clue of this work stems from the relation that links the aggregate throughput of the network to the packet rate 𝜆 of the contending stations. In particular, we show that the aggregate throughput 𝑆(𝜆) presents two clearly distinct operating regions that depend on the actual value of the packet rate 𝜆 with respect to a critical value 𝜆𝑐, theoretically derived in this work. The behavior of 𝑆(𝜆) paves the way to a cross-layer optimization algorithm, which proved to be effective for maximizing the aggregate throughput in a variety of network operating conditions. A nice consequence of the proposed optimization framework relies on the fact that the aggregate throughput can be predicted quite accurately with a simple, yet effective, closed-form expression. Finally, theoretical and simulation results are presented in order to unveil, as well as verify, the key ideas.http://dx.doi.org/10.1155/2010/397824 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Massimiliano Laddomada Fabio Mesiti |
spellingShingle |
Massimiliano Laddomada Fabio Mesiti On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective International Journal of Digital Multimedia Broadcasting |
author_facet |
Massimiliano Laddomada Fabio Mesiti |
author_sort |
Massimiliano Laddomada |
title |
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective |
title_short |
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective |
title_full |
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective |
title_fullStr |
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective |
title_full_unstemmed |
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective |
title_sort |
on the optimization of the ieee 802.11 dcf: a cross-layer perspective |
publisher |
Hindawi Limited |
series |
International Journal of Digital Multimedia Broadcasting |
issn |
1687-7578 1687-7586 |
publishDate |
2010-01-01 |
description |
This paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated traffic in the presence of transmission channel errors, as exemplified by the packet error rate 𝑃𝑒. The main clue of this work stems from the relation that links the aggregate throughput of the network to the packet rate 𝜆 of the contending stations. In particular, we show that the aggregate throughput 𝑆(𝜆) presents two clearly distinct operating regions that depend on the actual value of the packet rate 𝜆 with respect to a critical value 𝜆𝑐, theoretically derived in this work. The behavior of 𝑆(𝜆) paves the way to a cross-layer optimization algorithm, which proved to be effective for maximizing the aggregate throughput in a variety of network operating conditions. A nice consequence of the proposed optimization framework relies on the fact that the aggregate throughput can be predicted quite accurately with a simple, yet effective, closed-form expression. Finally, theoretical and simulation results are presented in order to unveil, as well as verify, the key ideas. |
url |
http://dx.doi.org/10.1155/2010/397824 |
work_keys_str_mv |
AT massimilianoladdomada ontheoptimizationoftheieee80211dcfacrosslayerperspective AT fabiomesiti ontheoptimizationoftheieee80211dcfacrosslayerperspective |
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