Indoor Vehicles Geolocalization Using LoRaWAN
Pietro Manzoni,
Carlos T. Calafate,
Juan-Carlos Cano and
Enrique Hernández-Orallo
Additional contact information
Pietro Manzoni: Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Carlos T. Calafate: Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Juan-Carlos Cano: Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Enrique Hernández-Orallo: Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Future Internet, 2019, vol. 11, issue 6, 1-15
Abstract:
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.
Keywords: LoRaWAN; geolocalization; ITS (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1999-5903/11/6/124/pdf (application/pdf)
https://www.mdpi.com/1999-5903/11/6/124/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:11:y:2019:i:6:p:124-:d:236224
Access Statistics for this article
Future Internet is currently edited by Ms. Grace You
More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().