An energy-aware retransmission model for multimedia communications over wireless networks. (c2010)

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dc.contributor.author Abdallah, Deema Abed Al-Rahman
dc.date.accessioned 2011-10-24T11:39:13Z
dc.date.available 2011-10-24T11:39:13Z
dc.date.copyright 2010 en_US
dc.date.issued 2011-10-24
dc.date.submitted 2010-07-14
dc.identifier.uri http://hdl.handle.net/10725/869
dc.description Includes bibliographical references (leaves 78-80). en_US
dc.description.abstract Traditional error recovery schemes such as automatic repeat request (ARQ) and incremental forward error correction (FEC) rely on immediate retransmissions to deal with transmission errors. Such an approach leads to substantial energy drain and notable performance degradation in case of multimedia communications over wireless networks especially when the probability of data error is high. Moreover, retransmissions negatively impact the performance of other mobile nodes due to the nature of resource sharing in wireless environments. In this thesis, an energy-aware retransmission scheme for multimedia distribution over wireless networks is designed, implemented, and evaluated in different realistic network scenarios. The proposed scheme adapts the retransmission rate based on the predicted channel conditions in a way that keeps the quality of service metrics within the desired range. Performance results using ns2 simulations demonstrate reduction of up to 50% in terms of energy consumption while maintaining the target quality constraints. Results also show that the proposed scheme outperforms the default WLAN medium access control (MAC) protocol in terms of packet delay that is an important metric for real-time multimedia applications. en_US
dc.language.iso en en_US
dc.subject Data transmission systems en_US
dc.subject Multimedia communications en_US
dc.subject Wireless communication systems en_US
dc.title An energy-aware retransmission model for multimedia communications over wireless networks. (c2010) en_US
dc.type Thesis en_US
dc.term.submitted Summer I en_US
dc.author.degree MS in Computer Science en_US
dc.author.school Arts and Sciences en_US
dc.author.idnumber 200302198 en_US
dc.author.commembers Dr. Nashaat Mansour
dc.author.commembers Dr. Rarnzi Haraty
dc.author.woa OA en_US
dc.description.physdesc 1 bound copy: xii, 79 leaves; ill.; 30 cm. available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Sanaa Sharafeddine
dc.identifier.doi https://doi.org/10.26756/th.2010.37 en_US
dc.publisher.institution Lebanese American University en_US

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