Next Article in Journal
Joint Location-Dependent Pricing and Request Mapping in ICN-Based Telco CDNs For 5G
Next Article in Special Issue
Enhancing the 3GPP V2X Architecture with Information-Centric Networking
Previous Article in Journal
Vehicle Speed Estimation Based on 3D ConvNets and Non-Local Blocks
Previous Article in Special Issue
Survey and Perspectives of Vehicular Wi-Fi versus Sidelink Cellular-V2X in the 5G Era

Indoor Vehicles Geolocalization Using LoRaWAN

Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Author to whom correspondence should be addressed.
All authors contributed equally to this work.
Future Internet 2019, 11(6), 124;
Received: 4 May 2019 / Revised: 28 May 2019 / Accepted: 29 May 2019 / Published: 31 May 2019
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. View Full-Text
Keywords: LoRaWAN; geolocalization; ITS LoRaWAN; geolocalization; ITS
Show Figures

Figure 1

MDPI and ACS Style

Manzoni, P.; Calafate, C.T.; Cano, J.-C.; Hernández-Orallo, E. Indoor Vehicles Geolocalization Using LoRaWAN. Future Internet 2019, 11, 124.

AMA Style

Manzoni P, Calafate CT, Cano J-C, Hernández-Orallo E. Indoor Vehicles Geolocalization Using LoRaWAN. Future Internet. 2019; 11(6):124.

Chicago/Turabian Style

Manzoni, Pietro, Carlos T. Calafate, Juan-Carlos Cano, and Enrique Hernández-Orallo. 2019. "Indoor Vehicles Geolocalization Using LoRaWAN" Future Internet 11, no. 6: 124.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop