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dc.contributor.advisorShihada, Basem
dc.contributor.authorAlaslani, Maha S.
dc.date.accessioned2015-05-03T12:39:22Z
dc.date.available2015-05-03T12:39:22Z
dc.date.issued2015-04
dc.identifier.citationAlaslani, M. S. (2015). Green Frame Aggregation Scheme for IEEE 802.11n Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-09LXH
dc.identifier.doi10.25781/KAUST-09LXH
dc.identifier.urihttp://hdl.handle.net/10754/552098
dc.description.abstractFrame aggregation is one of the major MAC layer enhancements in the IEEE 802.11 family that boosts the network throughput performance. It aims to achieve higher throughput by transmitting huge amount of data in a single transmit oppor- tunity. With the increasing awareness of energy e ciency, it has become vital to rethink about the design of such frame aggregation protocol. Aggregation techniques help to reduce energy consumption over ideal channel conditions. However, in a noisy channel environment, a new energy-aware frame aggregation scheme is required. In this thesis, a novel Green Frame Aggregation (GFA) scheduling scheme has been proposed and evaluated. GFA optimizes the aggregate size based on channel quality in order to minimize the consumed energy. GFA selects the optimal sub-frame size that satisfies the loss constraint for real-time applications as well as the energy budget of the ideal channel situations. The design, the implementation, and evaluation of GFA using testbed deployment is done. The experimental analysis shows that GFA outperforms the conventional frame aggregation methodology in terms of energy e ciency by about 6⇥ in the presence of severe interference conditions. Moreover, GFA also outperforms the static frame sizing method in terms of network goodput and maintains almost the same end- to-end latency.
dc.language.isoen
dc.subjectFrame aggregation
dc.subjectWireless Networks
dc.subjectA-MPDU
dc.subjectgreen
dc.subjectFrame size
dc.subjectIEEE-802.11n
dc.titleGreen Frame Aggregation Scheme for IEEE 802.11n Networks
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberAlouini, Mohamed-Slim
dc.contributor.committeememberZhang, Xiangliang
thesis.degree.disciplineComputer Science
thesis.degree.nameMaster of Science
refterms.dateFOA2018-06-14T07:32:32Z


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