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https://scholarbank.nus.edu.sg/handle/10635/13709
DC Field | Value | |
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dc.title | Proactive earliest due date packet scheduling in wireless networks | |
dc.contributor.author | TEH KENG HOE | |
dc.date.accessioned | 2010-04-08T10:35:41Z | |
dc.date.available | 2010-04-08T10:35:41Z | |
dc.date.issued | 2004-02-01 | |
dc.identifier.citation | TEH KENG HOE (2004-02-01). Proactive earliest due date packet scheduling in wireless networks. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/13709 | |
dc.description.abstract | This thesis aims to define, develop and study a novel scheduling policy to deliver real-time packets over wireless channels. Feasible earliest due date (FEDD) is reactive as it stops scheduling for a user after the channel quality turns bad. Proactive earliest due date (PEDD) that adjusts a packet's deadline in anticipation of an upcoming degradation in channel quality is proposed. Moreover, a realistic PEDD (R-PEDD) that uses a probing mechanism to acquire channel knowledge is designed. As probe packets consume bandwidth, R-PEDD+ that derives channel information from recent data packet transmissions is further proposed. Extensive simulations show that PEDD has about 30% higher system throughput and incurs about 45 times lower packet drop ratio compared to FEDD. Although R-PEDD and R-PEDD+ are only suitable when the channel changes are less rapid, simulation results indicate that both policies are capable of approximating the performance of PEDD in a realistic wireless channel. | |
dc.language.iso | en | |
dc.subject | Delay Upper Bound, Wireless Networks, Earliest Due Date, Packet Scheduling, Deadline Adjustment, Channel Knowledge Acquisition. | |
dc.type | Thesis | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.contributor.supervisor | LYE KIN MUN | |
dc.contributor.supervisor | KONG PENG YONG | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF ENGINEERING | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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TehKH.pdf | 413.12 kB | Adobe PDF | OPEN | None | View/Download |
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