Io t lorawan geolocation trends lpwan - v1
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IoT LPWAN Geolocation –
LoRaWAN™ bringing disruption…
Thierry Lestable, Ph.D Director, Head of IoT Business Development
& Strategic Partnerships
Vice-Chair LoRa Alliance ™
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 2
Sagemcom brings IoT Tracking Solutions to Life !
Tracking
capability is
THE Key
Disruptive
Enabler in IoT,
fueling
Innovative
Marketing
services!
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 3
GeoFencing, GeoTargeting, GeoPositioning, Tracking…
“Trigger geofences based on events like
- entering, dwelling, or leaving a place
- time of day
- crossing a speed threshold
- entering a city, state or country
- after traveling a given distance
- after a particular change in altitude ”
Source: Geoloqi
Smart Cities
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 4
IoT platforms play a critical Role for Business Adoption
Easy-to-use & Flexible
Interface to define Geo-
Fences
Scenarios & Rules Mgt
easy to implement
(Guidance)
Courtesy of
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5 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 5 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 6
Geolocation – End-to-End (E2E) Complete Solution Roll-out
Sagemcom is the ONLY
player providing End-to-
End Complete Solution for
Geolocation:
- Gateway v2 (Geoloc
enabled)
- Location Solver
(Algorithms processing)
- LNS API/Metadata (not
standardized yet by
Alliance)
- - Devices with IMU
Fast, Trustworthy, Reliable E2E Geolocation Roll-out:
Joint optimization feasible depending on SLA targets
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 7
Filtering – Stop & Go illustration – Overall Evaluation Methodology
Sagemcom has established a whole Evaluation Methodology with system
Level Dynamic simulators to secure mid/long-term new Algorithms
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Filtering – Illustration, Constant Velocity Models
i) Reliability of Dynamic Models
ii) Detection of Model Switching
iii) Capability to Adapt
Dyn
am
ic M
ode
l
Pro
ba
bili
ty u
sag
e
mobility detected
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9 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 9 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization
Chipset
End Point/Device
Gateway
LoRa™ Network Server (LNS)
IoT Platform
Service/Application
Waste Collection Street Lighting Smart ParkingSmart Build ingSecurity/safety
Asset Management/Tracking
Data Analytic Algorithms(incl. Geoloc)
Smart Agriculture
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 10
Data Fusion – Inertial Measurement Unit (IMU) – Part 1 (no GPS)
Gyroscope
accelerometer
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IoT LoRaWAN™ – 1st Generation Siconia™ Multi-usage Device
Compatible with all LoRaWAN 1.0
network • Public
• Private
• Private + extension radio partner
• Frequency Unlicensed Band ISM • EU, FCC (on-going)
• Multiples sensors for multiple use
cases • Temp, Humidity • Acceleration + Gyro • Magneto • Pressure
• Hardened medium
• -20 ° C / + 65 ° C • IP65 or more
• JavaScript / application
• NFC interface
• Cases of flexible use • 1 product • N uses
• Adaptive Form Factor depending
of requirement (IEC compliancy…)
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 12
IoT LoRaWAN™ – Siconia™ {GPS/WiFi/BLE/LoRaWAN™} Tracking
Compatible with all LoRaWAN 1.0
network • Public
• Private
• Private + extension radio partner
• Frequency Unlicensed Band ISM • EU, FCC (on-going)
• Multiple sensors
• Acceleration • Pressure
• Hybrid Positioning:
• GPS /GNSS (incl. Offload) • WiFi sniffing • BLE Proximity Services • LoRa™ Triangulation
• Hardened medium
• -20 ° C / + 65 ° C • IP65 or more
• JavaScript / application • Cases of flexible use
• 1 product/N uses
• Rechargeable battery (micro-usb)
• Adaptive Form Factor depending of requirement (IEC compliancy…)
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Data Fusion – IMU – GPS Offload Technology– Part 2 (with GPS)
GPS Offloading is outstanding good fit for such IoT LPWAN
scenarios & power consumption critical constrants!!
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This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 14
From Innovation to Disruption – Accelerating the IoT Market
Partner Innovation Program with real
industrial design Targets
(Cost , Quality, Time-to-Market efficiency)
Thanks to Leading Silicon Vendors willing
to accelerate the IoT LPWAN Market
Sagemcom will
circulate (VERY
SOON) this
New Generation
Tracker as a
Catalyst for
Asset
Management/Lo
gistics, and
Child/Elderly
care.
MAIN Target:
Disrupt the
Market!
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Data Fusion - Map layout (exploitation example)
• Use of OpenStreetMap to get all roads around Sagemcom’s HQ
• Black box
• Area requested
• Blue line
• Road
• Green line
• Pedestrian
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GPS information, machine learning (1/2)
Fingerprinting usually requires an initial ‘Offline’ phase, where calibration is
done for building an initial Radio Map (RSS, TOA, TDOA…).
Then, Machine Learning Algorithms can be used to classify/detect identical
patterns, and thus identify the Positions.
Ultimately, Online matching can also be used to adapt/enhance the initial
dataset/database.
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GPS information, machine learning (2/2)
Supervised Learning
(Calibration phase needed)
1) K-Nearest Neighbor (k-NN)
2) Decision Tree (DT)
3) Neural Networks (NN)
4) Support Vector Machines
(SVM)
5) Bayesian inference
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18 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 18 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization
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802.11 channels @2.4GHz – 14 channels
For sake of battery consumption, an Adapted
Scanning Policy, taking into account Radio
environment (e.g. Channel Popularity [1,6,11]) is
likely to improve the battery life. This could be
adapted by Application Layer.
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Passive Vs Active Sniffing
Only 10% additional captured packets via Active sniffing
In our case, the IoT Device is only using Passing Sniffing,
for sake of battery consumption.
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Spectrum Scanning Policy Design
WiFi Scanning Policy could be configured & driven by cloud requests,
and/or application (JS)
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WiFi Sniffing: Database is the KEY (1/4)
https://developers.google.com/maps/documentation/geolocation/intro
{
"homeMobileCountryCode": 310,
"homeMobileNetworkCode": 410,
"radioType": "gsm",
"carrier": "Vodafone",
"considerIp": "true",
"cellTowers": [
// See the Cell Tower Objects section below.
],
"wifiAccessPoints": [
// See the WiFi Access Point Objects section below.
]
}
{
"macAddress": "00:25:9c:cf:1c:ac",
"signalStrength": -43,
"age": 0,
"channel": 11,
"signalToNoiseRatio": 0
}
WiFi sniffing principle is applicable to any database, similar to Google API. Once Location of AP is
stored, together with their MAC address (Id), then RSSI algorithm can be applied.
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WiFi Sniffing: Database is the KEY (2/4)
{
"considerIp": "false",
"wifiAccessPoints": [
{
"macAddress": "00:25:9c:cf:1c:ac",
"signalStrength": -43,
"signalToNoiseRatio": 0
},
{
"macAddress": "00:25:9c:cf:1c:ad",
"signalStrength": -55,
"signalToNoiseRatio": 0
}
]
}
{
"location": {
"lat": 51.0,
"lng": -0.1
},
"accuracy": 1200.4
}
Example of request towards API, with device seen
from 2 Access Points
AP#1
AP#2
Example of Geoloc result/answer
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WiFi Sniffing: Database is the KEY (3/4)
http://hotspots.wifi.comcast.com/
http://wifi.xfinity.com/default.php#find-a-hotspot
Clearly, COMCAST
could have the
relevant Database
information, through
its Xfinity® Wifi
service.
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WiFi Sniffing: Database (& community) is the KEY (4/4)
https://wigle.net/
https://location.services.mozilla.com/
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Finally….
Sagemcom is deeply committed to make IoT LPWAN Asset
Management/Tracking a Business reality.
LoRaWAN™ via its inherited Time stamping capabilities from
CSS, together with Very Low Power & High Range
takes a definitely a Key Disruptive position in that Market.
Combining with other IoT Technologies such as GPS Offload,
WiFi scanning and BLE secures a strong Leader’s Position.
This is a joint Optimization Problem from the Device towards
Cloud Processing/Data Analytics & Anchors positions
Databases, via Gateways.
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Thanks for your interest…
Join our Innovation Program…