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dc.contributor.authorChen, Chi-Huaen_US
dc.contributor.authorLee, Chi-Aoen_US
dc.contributor.authorLo, Chi-Chunen_US
dc.date.accessioned2019-04-03T06:42:18Z-
dc.date.available2019-04-03T06:42:18Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2016.2530806en_US
dc.identifier.urihttp://hdl.handle.net/11536/133557-
dc.description.abstractIn recent years, smart devices have become ubiquitous. Many of these devices are equipped with global positioning system (GPS), Wi-Fi, and other sensors. With their high mobility, the idea of mobile devices as probes has been attracting more and more attention. Mobility and flexibility offered by smart mobile devices are what traditional fixed sensors lack. However, mobile devices' power supplies are quite limited. Although GPS is accurate, its high power consumption somewhat limits its accessibility and sustainability. In contrast, Wi-Fi is less power hungry, but at the same time, less accurate. For the sake of sustainability, by adopting Wi-Fi as an alternative to GPS, longer operation is attainable at the cost of losing some degree of accuracy. In this paper, a Wi-Fi-based algorithm based on log-normal probability distribution of distances with respect to received signal strength is proposed. It is suitable for an outdoor environment, where Wi-Fi access points (APs) are abundant. Simulations are conducted over known AP locations, and results show that the proposed algorithm can save, on average, as much as 35% more battery power than GPS does. The average localization error is similar to 18 m, and the average velocity estimation error is similar to 25%.en_US
dc.language.isoen_USen_US
dc.subjectMobile phone sensingen_US
dc.subjectWi-Fi-based localizationen_US
dc.subjectreceived signal strength indicatoren_US
dc.subjectlog-normal distributionen_US
dc.subjectpositioning algorithmen_US
dc.titleVehicle Localization and Velocity Estimation Based on Mobile Phone Sensingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2016.2530806en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume4en_US
dc.citation.spage803en_US
dc.citation.epage817en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000372617600054en_US
dc.citation.woscount11en_US
Appears in Collections:Articles


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