完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLin, Chun-Chengen_US
dc.contributor.authorDeng, Der-Jiunnen_US
dc.contributor.authorYao, Chia-Chien_US
dc.date.accessioned2019-04-02T05:59:11Z-
dc.date.available2019-04-02T05:59:11Z-
dc.date.issued2018-10-01en_US
dc.identifier.issn2327-4662en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JIOT.2017.2690961en_US
dc.identifier.urihttp://hdl.handle.net/11536/148470-
dc.description.abstractVehicular cloud computing (VCC) system coordinates the vehicular cloud (consisting of vehicles' computing resources) and the remote cloud properly to provide in-time services to users. Although pervious works had established the models for resource allocation in the VCC system based on semi-Markov decision processes (SMDPs), few of them discussed heterogeneity of vehicles and influences of roadside units (RSUs). Heterogeneous vehicles made by different manufacturers may be equipped with different amount of computing resources; and furthermore, RSU can enhance the computing capability of VCC. Therefore, this paper creates an SMDP model for VCC resource allocation that additionally considers heterogeneous vehicles and RSUs, and proposes an approach for finding the optimal strategy of VCC resource allocation. The two additional features significantly elaborate the SMDP model, and demonstrate different results from the original model. Simulation shows that the resource allocation in the VCC system can be captured by the proposed model, which performs well in terms of long-term expected values (consisting of consumption costs of power and time), under various parameter settings.en_US
dc.language.isoen_USen_US
dc.subjectIntelligent Transportation System (ITS)en_US
dc.subjectsemi-Markov decision processes (SMDPs)en_US
dc.subjectvehicular ad hoc network (VANET)en_US
dc.subjectvehicular cloud computing (VCC)en_US
dc.titleResource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Unitsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JIOT.2017.2690961en_US
dc.identifier.journalIEEE INTERNET OF THINGS JOURNALen_US
dc.citation.volume5en_US
dc.citation.spage3692en_US
dc.citation.epage3700en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000450251900044en_US
dc.citation.woscount4en_US
顯示於類別:期刊論文