Control Theoretic Optimization of 802.11 WLANs: Implementation and Experimental Evaluation
In 802.11 WLANs, adapting the contention parameters to network conditions results in substantial performance improvements. Even though the ability to change these parameters has been available in standard devices for years, so far no adaptive mechanism using this functionality has been validated in...
| Autores: | , , , , |
|---|---|
| Tipo de documento: | artigo |
| Data de publicação: | 2013 |
| País: | España |
| Recursos: | IMDEA Networks Institute |
| Repositório: | IMDEA Networks Institute Digital Repository |
| Idioma: | inglês |
| OAI Identifier: | oai:dspace.networks.imdea.org:20.500.12761/1073 |
| Acesso em linha: | http://hdl.handle.net/20.500.12761/1073 https://dx.doi.org/10.1016/j.comnet.2012.09.010. |
| Access Level: | Acceso aberto |
| Palavra-chave: | Q Science::Q Science (General) Q Science::QA Mathematics::QA75 Electronic computers. Computer science T Technology::T Technology (General) T Technology::TA Engineering (General). Civil engineering (General) T Technology::TK Electrical engineering. Electronics Nuclear engineering WLAN 802.11 Control theory Experimentation |
| Resumo: | In 802.11 WLANs, adapting the contention parameters to network conditions results in substantial performance improvements. Even though the ability to change these parameters has been available in standard devices for years, so far no adaptive mechanism using this functionality has been validated in a realistic deployment. In this paper we report our experiences with implementing and evaluating two adaptive algorithms based on control theory, one centralized and one distributed, in a large-scale testbed consisting of 18 commercial off-the-shelf devices. We conduct extensive measurements, considering different network conditions in terms of number of active nodes, link qualities and traffic generated. We show that both algorithms significantly outperform the standard configuration in terms of total throughput. We also identify the limitations inherent in distributed schemes, and demonstrate that the centralized approach substantially improves performance under a large variety of scenarios, which confirms its suitability for real deployments. |
|---|