完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang, Chenn-Jung | en_US |
dc.contributor.author | Chuang, Yi-Ta | en_US |
dc.contributor.author | Chen, You-Jia | en_US |
dc.contributor.author | Yang, Dian-Xiu | en_US |
dc.contributor.author | Chen, I-Fan | en_US |
dc.date.accessioned | 2014-12-08T15:08:12Z | - |
dc.date.available | 2014-12-08T15:08:12Z | - |
dc.date.issued | 2009-12-01 | en_US |
dc.identifier.issn | 0952-1976 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.engappai.2009.04.003 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/6394 | - |
dc.description.abstract | The transmission technology for intelligent transportation systems can be typically classified into two categories, namely, road-to-vehicle communication (RVC) and inter-vehicle communication (IVC). RVCs perform the information communication service offer from road to vehicle whereas the IVCs perform the information communication through vehicles. This work proposes quality of service (QoS)-aware roadside base station assisted routing mechanisms to establish a routing path in IVC with the assistance of roadside base station. A link failure prevention mechanism is employed to effectively construct alternative routing path required by the volatile network topology in vehicular Ad hoc networks. Besides, a bandwidth consumption predictor is presented to avoid dropping packets owing to inadequate bandwidth during handoffs. A neural network with fast learning algorithm is adopted as the core module for estimating the parameters used in the proposed schemes. Simulation results demonstrate the effectiveness and feasibility of the proposed work. (C) 2009 Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Quality of service (QoS) | en_US |
dc.subject | Inter-vehicle communication | en_US |
dc.subject | Neural network | en_US |
dc.subject | Road-to-vehicle communication | en_US |
dc.subject | Vehicular networks | en_US |
dc.title | QoS-aware roadside base station assisted routing in vehicular networks | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.engappai.2009.04.003 | en_US |
dc.identifier.journal | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | en_US |
dc.citation.volume | 22 | en_US |
dc.citation.issue | 8 | en_US |
dc.citation.spage | 1292 | en_US |
dc.citation.epage | 1301 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000272285000014 | - |
dc.citation.woscount | 3 | - |
顯示於類別: | 期刊論文 |