Green frame aggregation scheme for Wi-Fi networks

Handle URI:
http://hdl.handle.net/10754/611775
Title:
Green frame aggregation scheme for Wi-Fi networks
Authors:
Alaslani, Maha S. ( 0000-0002-7024-8680 ) ; Showail, Ahmad ( 0000-0001-6026-9739 ) ; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Frame aggregation is a major enhancement in the IEEE 802.11 family to boost the network performance. The increasing awareness about energy efficiency motivates the re-think of frame aggregation design. In this paper, we propose a novel Green Frame Aggregation (GFA) scheduling scheme that optimizes the aggregate size based on channel quality in order to minimize the consumed energy. GFA selects an optimal sub-frame size that satisfies the loss constraint for real-time applications as well as the energy budget of the ideal channel. This scheme is implemented and evaluated using a testbed deployment. The experimental analysis shows that GFA outperforms the conventional frame aggregation methodology in terms of energy efficiency by about 6x in the presence of severe interference conditions. Moreover, GFA outperforms the static frame sizing method in terms of network goodput while maintaining the same end-to-end latency.
KAUST Department:
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE 16th International Conference on High Performance Switching and Routing (HPSR)
Conference/Event name:
2015 IEEE 16th International Conference on High Performance Switching and Routing (HPSR)
Issue Date:
1-Jul-2015
DOI:
10.1109/HPSR.2015.7483076
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7483076; http://www.shihada.com/node/publications/GFA.pdf
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorAlaslani, Maha S.en
dc.contributor.authorShowail, Ahmaden
dc.contributor.authorShihada, Basemen
dc.date.accessioned2016-06-06T07:14:40Z-
dc.date.available2016-06-06T07:14:40Z-
dc.date.issued2015-07-01-
dc.identifier.doi10.1109/HPSR.2015.7483076-
dc.identifier.urihttp://hdl.handle.net/10754/611775-
dc.description.abstractFrame aggregation is a major enhancement in the IEEE 802.11 family to boost the network performance. The increasing awareness about energy efficiency motivates the re-think of frame aggregation design. In this paper, we propose a novel Green Frame Aggregation (GFA) scheduling scheme that optimizes the aggregate size based on channel quality in order to minimize the consumed energy. GFA selects an optimal sub-frame size that satisfies the loss constraint for real-time applications as well as the energy budget of the ideal channel. This scheme is implemented and evaluated using a testbed deployment. The experimental analysis shows that GFA outperforms the conventional frame aggregation methodology in terms of energy efficiency by about 6x in the presence of severe interference conditions. Moreover, GFA outperforms the static frame sizing method in terms of network goodput while maintaining the same end-to-end latency.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7483076en
dc.relation.urlhttp://www.shihada.com/node/publications/GFA.pdfen
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectA-MPDUen
dc.subjectEnergy consumptionen
dc.subjectFrame aggregationen
dc.subjectFrame error rateen
dc.subjectIEEE 802.11nen
dc.titleGreen frame aggregation scheme for Wi-Fi networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE 16th International Conference on High Performance Switching and Routing (HPSR)en
dc.conference.date1-4 July 2015en
dc.conference.name2015 IEEE 16th International Conference on High Performance Switching and Routing (HPSR)en
dc.conference.locationBudapest, Hungaryen
dc.eprint.versionPost-printen
kaust.authorAlaslani, Maha S.en
kaust.authorShowail, Ahmaden
kaust.authorShihada, Basemen
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