Proposal on new TF-Mobility activities
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Transcript Proposal on new TF-Mobility activities
Location awareness as an
adjunct to mobility
TF-Mobility
Mark O’Leary
July 8th 2008
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In a nutshell…
• Mobile devices use network technologies that can provide user
location and context cues.
• Location data can expand the variety of mobile applications
through delivery of relevant, timely, personalised content
reactive to dynamic environments.
• Dual aspects:
– allowing mobile nodes to determine their own position (relative to
other resources)
– allowing the network operator to monitor the position of nodes
The education community could (should?) deploy location-aware
systems in a number of contexts to the direct benefit of their
users.
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Possible technologies
• Log file extraction
• e.g. eduroam RADIUS logs
• GPS
• Smartphone cell localisation
• e.g. calibre [1]
• 802.11 ‘Beacon Stuffing’ [2]
• Location inference from IP
•(e.g. IP2GEO [3])
[1] http://research.microsoft.com/users/jckrumm/Publications%202008/calibree.pdf
[2] http://research.microsoft.com/research/mns/papers/WiFiAds-HotMobile2007.pdf
[3] http://research.microsoft.com/~padmanab/papers/sigmetrics2001.ps
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Standards
• Developments at present seem focused upon the individual
organisation or campus: the roaming case and/or the sharing
of location data in a portable format is ignored.
• Need a way for a user to advertise their location
– to the spatio-temporal resolution of their choice
– in a privacy-protecting manner.
• Need a way for network operators to
– share ‘bulk’ location data
– tag resources for ‘location-relevance’
It might be necessary to initiate standardisation effort
for various relevant location technologies.
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Privacy concerns
• Must be ‘Opt in’ – legal requirements
• Uptake will depend on compelling applications for
the user
• ‘Blurring’ location data:
–
–
–
–
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spatial cloaking (confuse with other people)
vagueness (“home”, “work”, “school”)
rounding measurements (e.g. snap to a 50m grid)
adding noise to measurements
dropped samples
Review policy in this area at existing deployments and
work towards harmonised principles in the use of
location data.
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Data privacy sensitivity
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Sample application 1
Eduroam ‘Weathermap’
• central radius logs parsed to generate graphical
output
• could be of use in performance and capacity
planning and promoting the eduroam concept.
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Sample application 2
‘eduroam-plus’
• eduroam users still require local assistance
to find resources like printers, vacant
meeting rooms, first aid etc. at a site they
haven’t visited before.
• Location cues could be fed back via the
eduroam system to a repository describing
such resources, which could then generate a
customised ‘portal’ for the user.
• Such a system would be a good candidate
for a federated approach?
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Sample application 3
Conference Social Networking
• Delegate at a conference builds a ‘target list’
of people they want to meet
• Application on their mobile device notifies
them when they are close to one of these
people (and the target has indicated their
status as open to approach)
• Equally, could reserve periods of time when
one wishes to avoid interruptions
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JANET(UK) location trials
• Context-relevant guidance & interactive maps incl. PlaceLab
deployment
• ‘RF firewalls’ – access control based upon requesting node
location
• Automated attendance registration through device presence
• Asset tracking
• Policy and implementation on the aggregation, storage and
release of location data
• Comparison of existing off-the-shelf location appliances
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Proposed Activities
1. Establish a forum for sharing experience
with and promoting location technologies
2. Develop a technical knowledge base
(standards, issues, market, trends)
3. Examine privacy and policy issues
4. Develop and trial inter-NREN locationaware initiatives
5. Consider the impact of future locationaware services on general mobility support
6. Work with and influence existing
standardisation efforts and open source
projects
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