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dc.contributor.authorLiu, Tzu-Chinen_US
dc.contributor.authorWang, Kuochenen_US
dc.contributor.authorKu, Chia-Yuen_US
dc.contributor.authorHsu, Yi-Huaien_US
dc.date.accessioned2016-03-28T00:04:25Z-
dc.date.available2016-03-28T00:04:25Z-
dc.date.issued2016-01-15en_US
dc.identifier.issn1389-1286en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.comnet.2015.10.021en_US
dc.identifier.urihttp://hdl.handle.net/11536/129667-
dc.description.abstractThe multimedia traffic report system is a new type of applications in wireless vehicular networks equipped with sensors. This system can provide various kinds of traffic information, which are directly obtained from on-car sensors and devices via LTE-A. By leveraging LTE-A technologies, the system can support wide-range transmissions and better mobility. Despite of these improvements, the resource management problem is still a challenging issue due to a large number of on-car sensors and devices. Existing resource management studies focus on channel quality or Quality of Service (QoS) requirements for non-vehicular applications. To get the most useful and complete traffic information, including location coverage, an efficient resource management mechanism for multimedia vehicular applications is indispensable. In this paper, we propose a QoS-aware resource management mechanism for multimedia traffic report systems over LTE-A (QoS-MTRS). The main idea is to schedule resources according to the importance degrees of various traffic data. Furthermore, we take channel availability into consideration to make sure that the transmission is feasible. The objective of QoS-MTRS is to improve the diversity, completeness and overall traffic data value under radio resource limitations. We have conducted a system-level simulation that includes an LTE-A network environment to evaluate our design. Simulation results show that the proposed QoS-MTRS is better than BQA (bandwidth and QoS-aware scheduler), Greedy, and FCFS in terms of appearance probability of receiving more than one kind of traffic data types per location block, duplication ratio, overall traffic data value, end-to-end delay, system throughput, location coverage, and flow rejection rate. The significance of this work is the proposed QoS-MTRS can be applied to LTE-A for supporting high-bandwidth demands Internet of Things (IoTs). (C) 2015 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectLTE-Aen_US
dc.subjectMultimedia traffic report systemen_US
dc.subjectQoS-awareen_US
dc.subjectResource managementen_US
dc.subjectVehicular networken_US
dc.titleQoS-aware resource management for multimedia traffic report systems over LTE-Aen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.comnet.2015.10.021en_US
dc.identifier.journalCOMPUTER NETWORKSen_US
dc.citation.volume94en_US
dc.citation.spage375en_US
dc.citation.epage389en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000369469600026en_US
dc.citation.woscount0en_US
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