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dc.contributor.authorLi, Chi-Yuen_US
dc.contributor.authorSalinas, Giovannien_US
dc.contributor.authorHuang, Po-Haoen_US
dc.contributor.authorTu, Guan-Huaen_US
dc.contributor.authorHsu, Guo-Huangen_US
dc.contributor.authorHsieh, Tien-Yuanen_US
dc.date.accessioned2020-05-05T00:01:56Z-
dc.date.available2020-05-05T00:01:56Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-5386-3180-5en_US
dc.identifier.issn1550-3607en_US
dc.identifier.urihttp://hdl.handle.net/11536/153999-
dc.description.abstractThe C-V2X (Cellular Vehicle-to-Everything) technology is developing in full swing. One of its mainstream services can be the Vehicle-to-Pedestrian (V2P) service. It can protect pedestrians who are mostly vulnerable on the road. In this work, we seek to enable a V2P service that can identify which pedestrians may be nearby a dangerous driving event and then notify them of warning messages. To enable this V2P service, there are two major challenges. First, a low-latency V2P message transport is required for this infrastructure-based service. Second, the pedestrian's smartphone requires an energy-efficient outdoor positioning method instead of power-hungry GPS due to its limited battery life. We thus propose a novel solution, V2PSense, which trades off positioning precision for energy savings while achieving low-latency message transport with LTE high-priority bearers. It does a coarse-grained positioning by leveraging intermittent GPS information and mobile sensing data, which includes step count from the pedometer and cellular signal strength changes. Though the V2PSense's positioning is not as precise as the GPS, it can still ensure that all the pedestrians nearby dangerous spots can be notified. Our results show that it can achieve the average precision ratio 92.6% for estimating where the pedestrian is while saving 20.8% energy, compared with the GPS always-on case.en_US
dc.language.isoen_USen_US
dc.subjectV2Xen_US
dc.subjectV2Pen_US
dc.subjectCellular networken_US
dc.subjectMobile sensingen_US
dc.titleV2PSense: Enabling Cellular-based V2P Collision Warning Service Through Mobile Sensingen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)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:000519271305104en_US
dc.citation.woscount0en_US
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