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dc.contributor.authorTang, Wen-Shiangen_US
dc.contributor.authorChang, Chung-Juen_US
dc.date.accessioned2017-04-21T06:49:54Z-
dc.date.available2017-04-21T06:49:54Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-5638-3en_US
dc.identifier.issn1930-529Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/134849-
dc.description.abstractIn this paper, we propose an intelligent inter-ring route control, called fuzzy inter-ring route control with PRNN predictor (FIRC-P), for the bridged resilient packet rings (BRPR). The FIRC-P contains three functional blocks implemented by fuzzy logic systems or pipeline recurrent neural networks (PRNN): fuzzy bridge-node congestion indicator (FBCI), PRNN downstream-node fairness predictor (PDFP), and fuzzy route controller (FRC). The determination of the FIRC-P is based on the load balancing principle, in which the CW or CCW ringlet with lower congestion degree and higher service rate will be chosen. Simulation results show that the FIRC-P improves the performance by about 10% and 220% in packet dropping probability, by about 13% and 18% in average packet delay, and by about 6% and 19% in throughput over the queue length threshold route controller (QTRC) and the shortest path route controller (SPRC), respectively.en_US
dc.language.isoen_USen_US
dc.subjectresilient packet ring (RPR)en_US
dc.subjectroute controlen_US
dc.subjectfairRateen_US
dc.subjectcongestion controlen_US
dc.subjectfuzzy logicsen_US
dc.subjectpipeline recurrent neural networks (PRNN)en_US
dc.titleA Fuzzy Inter-Ring Route Control with PRNN Predictor Bridged Resilient Packet Ringsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000287977401002en_US
dc.citation.woscount0en_US
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