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dc.contributor.authorChen, Yaw-Chungen_US
dc.contributor.authorChen, Wen-Yenen_US
dc.date.accessioned2014-12-08T15:24:57Z-
dc.date.available2014-12-08T15:24:57Z-
dc.date.issued2006en_US
dc.identifier.isbn0-7695-2655-1en_US
dc.identifier.issn0730-3157en_US
dc.identifier.urihttp://hdl.handle.net/11536/17329-
dc.description.abstractIn a wireless LAN environment, wireless stations with the strongest received signal can not be guaranteed to have the best quality of service if the population sharing the network capacity was not considered. In other words, within the same access point, the more the population, the less the shared bandwidth, and the worse the quality of service will be. In this paper, we proposed an Anticipative Agent Assistance which is an agent-based metric for evaluating and managing the resource of the wireless access points, computing the potential A-P list, and providing clients with resource information of APs. We also propose a novel QoS feedback mechanism which allows users to promptly adjust the service quality with AAA according to the throughput and delay requirements. We evaluate the performance of our proposed method using the ns-2 simulator. Numerical results show that AAA help reduce the transmission delay, increase the throughput, improve the network utilization, accommodate more users, and provide load-balancing.en_US
dc.language.isoen_USen_US
dc.titleAn agent-based metric for quality of services over wireless networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journal30th Annual International Computer Software and Applications Conference, Vol 1, Regular Papers/Panels, Proceedingsen_US
dc.citation.spage236en_US
dc.citation.epage243en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000241643200041-
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