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dc.contributor.authorShih, CHen_US
dc.contributor.authorWang, KCen_US
dc.contributor.authorLiu, AYen_US
dc.date.accessioned2014-12-08T15:25:55Z-
dc.date.available2014-12-08T15:25:55Z-
dc.date.issued2004en_US
dc.identifier.isbn0-7803-8523-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/18368-
dc.description.abstractIn this paper, we propose a Bluetooth channel state dependent data segmentation and reassembly (CSD-SAR) scheme and a queue state dependent priority (QSD-PR) scheduling policy. The CSD-SAR maintains a receiving frequency table to predict channel conditions and selects the best packet type and packet size to transmit data. In addition, the QSD-PR also uses the receiving frequency table to avoid bad frequencies and gives a selected master-slave pair, which has more queued data to send between each other and has a higher priority to eliminate the wastage of slots. The conventional scheduling policy, Round Robin (RR), yields poor performance with the time division duplex (TDD) based MAC protocol and results in slot wastage and may not ensure fairness. Simulation results show that our proposed scheme achieves better link utilization and higher throughput with bounded delay compared to the RR scheme in error-free and error-prone environments. Our scheme can also eliminate interference to other wireless networks that share the same spectrum, such as WLANs, by avoiding selecting channels occupied by other networks.en_US
dc.language.isoen_USen_US
dc.subjectBluetoothen_US
dc.subjectadaptive packet selectionen_US
dc.subjectchannel state dependent packet schedulingen_US
dc.subjectinterference environmenten_US
dc.titleEnhancing Bluetooth performance in interference environments via channel-state-dependent packet scheduling with adaptive packet selectionen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2004 IEEE 15TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-4, PROCEEDINGSen_US
dc.citation.spage1183en_US
dc.citation.epage1187en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000225483300230-
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