Implementing a location dependent application with LPWAN
1 like151 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.
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
- 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
- 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
- 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
- 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