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  • 标题:Indoor Vehicles Geolocalization Using LoRaWAN
  • 本地全文:下载
  • 作者:Pietro Manzoni ; Carlos T. Calafate ; Juan-Carlos Cano
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2019
  • 卷号:11
  • 期号:6
  • 页码:1-15
  • DOI:10.3390/fi11060124
  • 出版社:MDPI Publishing
  • 摘要:One of the main drawbacks of Global Navigation Satellite Sytems (GNSS) is that they do not work indoors. When inside, there is often no direct line from the satellite signals to the device and the ultra high frequency (UHF) used is blocked by thick, solid materials such as brick, metal, stone or wood. In this paper, we describe a solution based on the Long Range Wide Area Network (LoRaWAN) technology to geolocalise vehicles indoors. Through estimation of the behaviour of a LoRaWAN channel and using trilateration, the localisation of a vehicle can be obtained within a 20–30 m range. Indoor geolocation for Intelligent Transporation Systems (ITS) can be used to locate vehicles of any type in underground parkings, keep a platoon of trucks in formation or create geo-fences, that is, sending an alert if an object moves outside a defined area, like a bicycle being stolen. Routing of heavy vehicles within an industrial setting is another possibility.
  • 关键词:LoRaWAN; geolocalization; ITS LoRaWAN ; geolocalization ; ITS
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