Implementing a location dependent application with LPWAN

Feb 10, 20181 like148 views

This document discusses technologies and methods for implementing location-dependent applications using localization systems. It describes various technologies that can be used for localization including global navigation satellite systems, wireless communication systems, and on-device sensors. It also summarizes different localization system architectures, location information that can be determined, and factors that affect localization accuracy such as environment, mobility, and power.

PUBLIC
IMPLEMENTING A LOCATION DEPENDENT APPLICATION
PROF MAARTENWEYN
MAARTEN.WEYN@UANTWERPEN.BE

TECHNOLOGIES Technologies
Global Navigation
Satellite Systems
GPS Galileo GLONASS Beidou
Overlay
services
EGNOS
WAAS
MSAS
Infrared Ultra Sound based Inertial Light Camera RF based
Wi-Fi
RFID
Bluetooth
WSN
UWB
FM
LPWAN
GSM
Hybrid
Methods/Algorithms
Proximity Range Based
Direction Based
Angle Based
Distance Based
Time Based
Signal Property Based
Scene Analysis
Pattern Matching
Fingerprinting

5
Accuracy
>100m
20-100m
3-10m
1-3m
Building
Room
Shelf
Mobility
Mobile
Semi-Mobile
Stationary
Power
Small Battery
Rechargeable
Fixed
Communication
Wi-Fi
LPWAN
Cell
Bluetooth
RFID
Other
Environment
Underground
Indoors
Outdoors
All
Urban
Suburban
Rural
Sensors
GPS
Wi-Fi
Bluetooth
GSM/LTE
LPWAN
Magnetometer

LOCALIZATION SYSTEM ARCHITECTURE
INFRASTRUCTURE BASED PROCESSING
Active mobile
MOBILE BASED PROCESSING
Passive mobile

LOCATION INFORMATION
Location
“a particular place or position.”
{x,y,z} (with an accuracy of x meters), office A, city B, Floor Z, …
Position
“a particular way in which someone or something is placed or arranged”
{x,y,x,α,β,γ}, on top of ….
Context Information
“any information that can be used to characterize the situation of an entity.”i

Implementing a location dependent application with LPWAN

14
MATERIALS AND METHODS
6 nodes (with different SF and update rate) moved along the route
4.4 km / 60 min
4.4 km/h (6 km/h)
12.1 km / 60 min
12.1 km/h (21 km/h)
38.7 km / 60 min
38.6 km/h (137 km/h)

PERFORMANCE:ACCURACY
16
0
100
200
300
400
500
600
700
7 8 9 10 11 12 All
Median error in meters
Walking Cycling Driving All

PERFORMANCE:ACCURACY
17
0
100
200
300
400
500
600
700
7 8 9 10 11 12 All
90p error in meters
Walking Cycling Driving All

18
PERFORMANCE
0
10
20
30
40
50
60
70
80
90
100
SF7 SF8 SF9 SF10 SF11 SF12
RX@ 1 Gateway RX@ > 3 Gateways Location update
32 – 300 sec

19
PERFORMANCE
0
10
20
30
40
50
60
70
80
90
100
SF7 SF8 SF9 SF10 SF11 SF12
30 – 277 sec
RX@ 1 Gateway RX@ > 3 Gateways Location update

20
PERFORMANCE
0
10
20
30
40
50
60
70
80
90
100
SF7 SF8 SF9 SF10 SF11 SF12
171 – 900 sec
RX@ 1 Gateway RX@ > 3 Gateways Location update

21
PERFORMANCE: USINGVITERBI FILTERING
TDOA TDOA+Viterbi
Median error: 250m
90p error: 490m
Median error: 205m
90p error: 354m

SIGNAL STRENGTH LOCALIZATION
23
335235
LoRaWAN messages
Michiel Aernouts
Dr. Raf Berkvens
Prof. MaartenWeyn

SPREADING FACTOR
24
SPREADING FACTOR PER MESSAGE
SF 7
SF 8
SF 9
SF 10
SF 11
SF 12

COVERAGE
25
AMOUNT OF RECEIVING BASE STATIONS PER MESSAGE
> 5
5
4
3
2
1

COMMUNICATION
Spreading factor
51.71 % of messages has SF 7, 8 or 9
48.29 % of messages has SF 10,11 or 12
Northern Antwerp generally has lower SF than
southern Antwerp
Coverage
92.2 % of messages received by 3 base stations
26
ANALYSIS

STRONGEST LINK
27
ORGANIZING MESSAGES IN CLUSTERS BASED ON THEIR BEST RECEIVING BS
LoRaWAN
base station
Position of
transmitter

STRONGEST LINK
Very simple approach
Using the BS location
BS location has to be known
High location estimation error
Using the cluster centroid
BS location not needed
Smaller location estimation error
28

FINGERPRINTING
29
37142 LORAWAN MESSAGES

Indoor experiments Large scale experiments at
Tomorrowland
ANGLE OF ARRIVAL LOCALIZATION USING SUB-1 GHZ
32
Noori Bni Lam
Prof. MaartenWeyn

EXPERIMENT RESULTSTML Estimated Location
Real Location
Error (m)

WI-FI ACCESS POINT DATABASES
36
Thomas Janssen
Dr. Raf Berkvens
Prof. MaartenWeyn

OPEN SOURCE SUB 1 GHZ STACK OSS-7
39
SEAMLESS SWITCHING OF DASH7 AND LORAWAN
http://mosaic-lopow.github.io/dash7-ap-open-source-stack/

40
maarten.weyn@uantwerpen.be
+32 496 50 31 67
@maartenweyn
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Implementing a location dependent application with LPWAN

1. PUBLIC IMPLEMENTING A LOCATION DEPENDENT APPLICATION PROF MAARTENWEYN MAARTEN.WEYN@UANTWERPEN.BE

2. 2

3. 3

4. TECHNOLOGIES Technologies Global Navigation Satellite Systems GPS Galileo GLONASS Beidou Overlay services EGNOS WAAS MSAS Infrared Ultra Sound based Inertial Light Camera RF based Wi-Fi RFID Bluetooth WSN UWB FM LPWAN GSM Hybrid Methods/Algorithms Proximity Range Based Direction Based Angle Based Distance Based Time Based Signal Property Based Scene Analysis Pattern Matching Fingerprinting

5. 5 Accuracy >100m 20-100m 3-10m 1-3m Building Room Shelf Mobility Mobile Semi-Mobile Stationary Power Small Battery Rechargeable Fixed Communication Wi-Fi LPWAN Cell Bluetooth RFID Other Environment Underground Indoors Outdoors All Urban Suburban Rural Sensors GPS Wi-Fi Bluetooth GSM/LTE LPWAN Magnetometer

6. LOCALIZATION SYSTEM ARCHITECTURE

7. LOCALIZATION SYSTEM ARCHITECTURE

8. LOCALIZATION SYSTEM ARCHITECTURE INFRASTRUCTURE BASED PROCESSING Active mobile MOBILE BASED PROCESSING Passive mobile

9. LOCATION INFORMATION Location “a particular place or position.” {x,y,z} (with an accuracy of x meters), office A, city B, Floor Z, … Position “a particular way in which someone or something is placed or arranged” {x,y,x,α,β,γ}, on top of …. Context Information “any information that can be used to characterize the situation of an entity.”i

10. 10

11. LET’S INVESTIGATE

13. LORA GEO-LOCALIZATION

14. 14 MATERIALS AND METHODS 6 nodes (with different SF and update rate) moved along the route 4.4 km / 60 min 4.4 km/h (6 km/h) 12.1 km / 60 min 12.1 km/h (21 km/h) 38.7 km / 60 min 38.6 km/h (137 km/h)

15. 15 PERFORMANCE

16. PERFORMANCE:ACCURACY 16 0 100 200 300 400 500 600 700 7 8 9 10 11 12 All Median error in meters Walking Cycling Driving All

17. PERFORMANCE:ACCURACY 17 0 100 200 300 400 500 600 700 7 8 9 10 11 12 All 90p error in meters Walking Cycling Driving All

18. 18 PERFORMANCE 0 10 20 30 40 50 60 70 80 90 100 SF7 SF8 SF9 SF10 SF11 SF12 RX@ 1 Gateway RX@ > 3 Gateways Location update 32 – 300 sec

19. 19 PERFORMANCE 0 10 20 30 40 50 60 70 80 90 100 SF7 SF8 SF9 SF10 SF11 SF12 30 – 277 sec RX@ 1 Gateway RX@ > 3 Gateways Location update

20. 20 PERFORMANCE 0 10 20 30 40 50 60 70 80 90 100 SF7 SF8 SF9 SF10 SF11 SF12 171 – 900 sec RX@ 1 Gateway RX@ > 3 Gateways Location update

21. 21 PERFORMANCE: USINGVITERBI FILTERING TDOA TDOA+Viterbi Median error: 250m 90p error: 490m Median error: 205m 90p error: 354m

22. 22

23. SIGNAL STRENGTH LOCALIZATION 23 335235 LoRaWAN messages Michiel Aernouts Dr. Raf Berkvens Prof. MaartenWeyn

24. SPREADING FACTOR 24 SPREADING FACTOR PER MESSAGE SF 7 SF 8 SF 9 SF 10 SF 11 SF 12

25. COVERAGE 25 AMOUNT OF RECEIVING BASE STATIONS PER MESSAGE > 5 5 4 3 2 1

26. COMMUNICATION Spreading factor 51.71 % of messages has SF 7, 8 or 9 48.29 % of messages has SF 10,11 or 12 Northern Antwerp generally has lower SF than southern Antwerp Coverage 92.2 % of messages received by 3 base stations 26 ANALYSIS

27. STRONGEST LINK 27 ORGANIZING MESSAGES IN CLUSTERS BASED ON THEIR BEST RECEIVING BS LoRaWAN base station Position of transmitter

28. STRONGEST LINK Very simple approach Using the BS location BS location has to be known High location estimation error Using the cluster centroid BS location not needed Smaller location estimation error 28

29. FINGERPRINTING 29 37142 LORAWAN MESSAGES

30. FINGERPRINTING 30

31. 31

32. Indoor experiments Large scale experiments at Tomorrowland ANGLE OF ARRIVAL LOCALIZATION USING SUB-1 GHZ 32 Noori Bni Lam Prof. MaartenWeyn

33. EXPERIMENT RESULTSTML Estimated Location Real Location Error (m)

34. 34

35. DIY COMBINATION 35 LPWAN

36. WI-FI ACCESS POINT DATABASES 36 Thomas Janssen Dr. Raf Berkvens Prof. MaartenWeyn

37. 37

38. 38

39. OPEN SOURCE SUB 1 GHZ STACK OSS-7 39 SEAMLESS SWITCHING OF DASH7 AND LORAWAN http://mosaic-lopow.github.io/dash7-ap-open-source-stack/

40. 40 maarten.weyn@uantwerpen.be +32 496 50 31 67 @maartenweyn thinking.inner.standard

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Implementing a location dependent application with LPWAN

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