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dc.contributor.authorHuang, Chin-Yaen_US
dc.contributor.authorChung, Wang-Weien_US
dc.contributor.authorLiu, Chih-Yanen_US
dc.date.accessioned2019-08-02T02:24:16Z-
dc.date.available2019-08-02T02:24:16Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-5386-6358-5en_US
dc.identifier.issn1550-2252en_US
dc.identifier.urihttp://hdl.handle.net/11536/152438-
dc.description.abstractIoT devices monitor and provide information to a control system which manages the operation of an intelligent building. Due to the limited capability of wireless coverage and battery life, IoT devices may have not direct Internet access to the control system. Instead, they first connect to WiFi access points (APs) for data transmission. However, when abnormal situation such as attacks occurs, the performance of packet transmission between the IoT devices and the control system degrade. To eliminate this problem, we utilize the dual-band wireless networking technology and propose a Stay Connected (SCONN) mechanism When the software defined networking (SDN) controller detects the abnormal situation occurs between an AP and the control system, with SCONN, packets will be adaptively rerouted through the backup wireless mesh network consisted by dual-band APs. Hence, the performance in data transmission can be enhanced. To further validate the capability of SCONN, we implement it in commercial APs. Experimental results show the improvement of the proposed SCONN to support data transmission.en_US
dc.language.isoen_USen_US
dc.subjectFault-Toleranceen_US
dc.subjectInternet of Things (IoTs)en_US
dc.subjectSoftware Defined Networking (SDN)en_US
dc.subjectDual-Band Wireless Networkingen_US
dc.titleSCONN: Design and Implement Dual-Band Wireless Networking assisted Fault Tolerant Data Transmission in Intelligent Buildingsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL)en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000468872400237en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper