Cognitive flow management for QoS in WLANs

Tapio Frantti, Mikko Majanen, T. Sukuvaara

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper introduces an embedded control system for cognitive flow management of delay sensitive real-time traffic to improve quality of service (QoS) in Wireless Local Area Networks (WLANs). The management system is based on the fuzzy set theory. It adjusts transceivers' traffic flow(s) for prevailing network conditions to achieve application dependent quality of service requirements by regulating packet size and transmission interval of the source node. The model was validated by simulating voice over IP (VoIP) calls, video phone conversations, and interactive games in OM-NeT++ network simulator. The achieved results demonstrate that the developed control system is able to regulate packet sizes and transmission intervals to the prevailing application dependent optimum level very fast, accurately and with minimal overshoot. (22 refs.)
Original languageEnglish
Title of host publicationThird International Conference on Ubiquitous and Future Networks, ICUFN 2011
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages76-82
ISBN (Electronic)978-1-4577-1177-0
ISBN (Print)978-1-4577-1176-3
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
EventThird International Conference on Ubiquitous and Future Networks, ICUFN 2011 - Dalian, China
Duration: 15 Jun 201117 Jun 2011

Conference

ConferenceThird International Conference on Ubiquitous and Future Networks, ICUFN 2011
Abbreviated titleICUFN 2011
CountryChina
CityDalian
Period15/06/1117/06/11

Fingerprint

Wireless local area networks (WLAN)
Quality of service
Control systems
Fuzzy set theory
Transceivers
Telecommunication traffic
Simulators

Cite this

Frantti, T., Majanen, M., & Sukuvaara, T. (2011). Cognitive flow management for QoS in WLANs. In Third International Conference on Ubiquitous and Future Networks, ICUFN 2011 (pp. 76-82). Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICUFN.2011.5949139
Frantti, Tapio ; Majanen, Mikko ; Sukuvaara, T. / Cognitive flow management for QoS in WLANs. Third International Conference on Ubiquitous and Future Networks, ICUFN 2011. Piscataway, NJ, USA : Institute of Electrical and Electronic Engineers IEEE, 2011. pp. 76-82
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Frantti, T, Majanen, M & Sukuvaara, T 2011, Cognitive flow management for QoS in WLANs. in Third International Conference on Ubiquitous and Future Networks, ICUFN 2011. Institute of Electrical and Electronic Engineers IEEE, Piscataway, NJ, USA, pp. 76-82, Third International Conference on Ubiquitous and Future Networks, ICUFN 2011, Dalian, China, 15/06/11. https://doi.org/10.1109/ICUFN.2011.5949139

Cognitive flow management for QoS in WLANs. / Frantti, Tapio; Majanen, Mikko; Sukuvaara, T.

Third International Conference on Ubiquitous and Future Networks, ICUFN 2011. Piscataway, NJ, USA : Institute of Electrical and Electronic Engineers IEEE, 2011. p. 76-82.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - This paper introduces an embedded control system for cognitive flow management of delay sensitive real-time traffic to improve quality of service (QoS) in Wireless Local Area Networks (WLANs). The management system is based on the fuzzy set theory. It adjusts transceivers' traffic flow(s) for prevailing network conditions to achieve application dependent quality of service requirements by regulating packet size and transmission interval of the source node. The model was validated by simulating voice over IP (VoIP) calls, video phone conversations, and interactive games in OM-NeT++ network simulator. The achieved results demonstrate that the developed control system is able to regulate packet sizes and transmission intervals to the prevailing application dependent optimum level very fast, accurately and with minimal overshoot. (22 refs.)

AB - This paper introduces an embedded control system for cognitive flow management of delay sensitive real-time traffic to improve quality of service (QoS) in Wireless Local Area Networks (WLANs). The management system is based on the fuzzy set theory. It adjusts transceivers' traffic flow(s) for prevailing network conditions to achieve application dependent quality of service requirements by regulating packet size and transmission interval of the source node. The model was validated by simulating voice over IP (VoIP) calls, video phone conversations, and interactive games in OM-NeT++ network simulator. The achieved results demonstrate that the developed control system is able to regulate packet sizes and transmission intervals to the prevailing application dependent optimum level very fast, accurately and with minimal overshoot. (22 refs.)

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Frantti T, Majanen M, Sukuvaara T. Cognitive flow management for QoS in WLANs. In Third International Conference on Ubiquitous and Future Networks, ICUFN 2011. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers IEEE. 2011. p. 76-82 https://doi.org/10.1109/ICUFN.2011.5949139