Presentation of reelyActive's scientific article at the IEEE Internet of People 2017 conference in Fremont, CA. To the best of the authors’ knowledge, collective hyperlocal context represents a novel concept combining extended device discovery, semantic representation and relative real-time location across heterogeneous RFID technologies.

1. Towards collective hyperlocal
contextual awareness among
heterogeneous RFID systems
Presented at IEEE Internet of People
Fremont, CA | August 6, 2017
Jeffrey Dungen, Juan Pinazo

2. 2014Year of standards
1 billion BLE
annually

3. 1 billion BLE
annually
People
Identification of

4. Products
Identification of

5. People, products,
places, …
Linked representation* of
* coupled with Schema.org

6. Infrastructure Infrastructure
RFID co-existence

7. Infrastructure Infrastructure
People
as smartphones
Places
as beacons
Products
as beacons
Products
as tags
Independent awareness

8. We present a mechanism for
mutual discovery and the
subsequent exchange of
structured data among such
colocated, and often
heterogeneous, systems.

9. System Discovery
Infrastructure Infrastructure
URL1
URL4
URL3URL2

10. Infrastructure Infrastructure
URL1
URL4
URL3URL2
Each system advertises,
using BLE*, a link to its own
contextual awareness,
observable to its peers
*non-BLE systems require inexpensive retrofit

11. Infrastructure Infrastructure
URL1 URL4
URL2
URL3
Context Discovery
URL2
URL3
URL4
URL1
URL3
URL4
URL1
URL2
URL4
URL1
URL2
URL3
1 2 3 4

12. URL2
URL3
URL4
URL1
URL3
URL4
URL1
URL2
URL4
URL1
URL2
URL3
1 2 3 4
Infrastructure Infrastructure
URL1 URL4
URL2
URL3
Each system retrieves,
via the web*,
the contextual awareness
of its nearby peers
*or via local network, if possible

13. The result is what we call
hyperlocal context:
a digital representation of
the occupants of a space
at a human scale.

14. Directed Graph
d
r1
r2
Receiver
as node
Receiver
as node
Device
as nodeRSSI
asedge
RSSI
asedge
URL
URL

15. Infrastructure
Directed Graph
Infrastructure
URL
RSSI
RSSI
RSSI

16. Independent Hyperlocal Context
d2
r1
r2
d1
d3 d4
d6
d5
URL URL

17. Collective Hyperlocal Context*
d2
r1
r2d1
d3
d4
d6
d5
*from the perspective of r1
via system discovery
via context
discovery
URL
URL

18. Structured data is hosted at
each receiver’s URL,
with one novel property.

19. {
"@context": {
"schema": "http://schema.org"
},
"@graph": [
{
"@id": "product",
"@type": "schema:Product",
...
}
],
"hyperlocalcontext": "http://..."
}
r2
Structured
data*
*returned by GET of r2
URL

20. d4
d6
d5
r1
{
"devices": {
"d4": {
"nearest": [
{ "device": "r2", "rssi": 123 }
],
"url": "http://..."
},
"d5": { ... },
"d6": { ... },
"r1": { ... }
}
}
r2
Hyperlocal
context*
*returned by GET of r2
"hyperlocalcontext" URL

21. To the best of the authors’ knowledge,
collective hyperlocal context
represents a novel concept combining
extended device discovery,
semantic representation and
relative real-time location across
heterogeneous RFID technologies.

22. Infrastructure Infrastructure
People
as smartphones
Places
as beacons
Products
as beacons
Products
as tags
Is the item
I’m browsing
on my phone
currently on
this rack?

23. Infrastructure Infrastructure
People
as smartphones
Products
as tags
WHO is interacting
with WHAT right now?

24. Infrastructure
People
as smartphones
Places
as beacons
Products
as beacons
Doesyoursystem
recognise*this
device?
*Got URL?

25. Collaboration
with:
Co-existing infrastructure:
➔ UHF Passive RFID
➔ Bluetooth Low Energy
➔ UHF Active RFID
Photo credit: Samad Rostampour

26. Considerations for ongoing work
➔ Data exchange over local network
➔ Calibrated RSSI
➔ New and evolving radio standards
➔ Security and privacy

27. Questions?
Preceding works:
J. Dungen et al, “Towards a simple, versatile, distributed low-power wireless M2M infrastructure”, 2013 IEEE
38th Conf. on Local Computer Networks (LCN), Sydney, Australia, 2013.
M.I. Jameel and J. Dungen, “Low-power wireless advertising software library for distributed M2M and
contextual IoT”, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, Italy, 2015.
reelyactive.github.io www.reelyactive.com
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