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A Hybrid Approach to GPS-Free Geolocation over LoRa

Danebjer, Jonas LU and Halldórsson, Valthor (2018) EITM01 20181
Department of Electrical and Information Technology
Abstract (Swedish)
The last few years have seen a rapid expansion within the area of the Internet ofThings (IoT). For many IoT applications, such as asset tracking and distributedsensor networks, the problem of localization (i.e. determining the physical loca-tion of nodes in the network) is fundamental. For such applications, constraintson size, cost, and power consumption often prohibit the use of GPS. This thesisdesigns, implements, and evaluates a GPS-free localization system using the LongRange Radio (LoRa) technology, built using low cost off-the-shelf hardware. Thesystem is based on combining Time of Flight (ToF) and Received Signal StrengthIndicator (RSSI) distance measurements using a weighted multilateration estima-tor. By using an accelerometer... (More)
The last few years have seen a rapid expansion within the area of the Internet ofThings (IoT). For many IoT applications, such as asset tracking and distributedsensor networks, the problem of localization (i.e. determining the physical loca-tion of nodes in the network) is fundamental. For such applications, constraintson size, cost, and power consumption often prohibit the use of GPS. This thesisdesigns, implements, and evaluates a GPS-free localization system using the LongRange Radio (LoRa) technology, built using low cost off-the-shelf hardware. Thesystem is based on combining Time of Flight (ToF) and Received Signal StrengthIndicator (RSSI) distance measurements using a weighted multilateration estima-tor. By using an accelerometer that detects significant movement, subsequentmeasurements made in the same place can be leveraged to provide increased ac-curacy. The evaluation shows that the hybrid system outperforms both ToF andRSSI used on their own, achieving a mean stationary position error of 272 meters,which is comparable to other LoRa localization techniques. (Less)
Please use this url to cite or link to this publication:
author
Danebjer, Jonas LU and Halldórsson, Valthor
supervisor
organization
course
EITM01 20181
year
type
H2 - Master's Degree (Two Years)
subject
report number
LU/LTH-EIT 2018-670
language
English
id
8962876
date added to LUP
2018-11-13 10:08:01
date last changed
2018-11-13 10:08:01
@misc{8962876,
  abstract     = {{The last few years have seen a rapid expansion within the area of the Internet ofThings (IoT). For many IoT applications, such as asset tracking and distributedsensor networks, the problem of localization (i.e. determining the physical loca-tion of nodes in the network) is fundamental. For such applications, constraintson size, cost, and power consumption often prohibit the use of GPS. This thesisdesigns, implements, and evaluates a GPS-free localization system using the LongRange Radio (LoRa) technology, built using low cost off-the-shelf hardware. Thesystem is based on combining Time of Flight (ToF) and Received Signal StrengthIndicator (RSSI) distance measurements using a weighted multilateration estima-tor. By using an accelerometer that detects significant movement, subsequentmeasurements made in the same place can be leveraged to provide increased ac-curacy. The evaluation shows that the hybrid system outperforms both ToF andRSSI used on their own, achieving a mean stationary position error of 272 meters,which is comparable to other LoRa localization techniques.}},
  author       = {{Danebjer, Jonas and Halldórsson, Valthor}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{A Hybrid Approach to GPS-Free Geolocation over LoRa}},
  year         = {{2018}},
}