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Ad Loc: Location-based Infrastructure-free Annotation

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Movie trailers at cinemas. Company websites at company headquarters ... Probe Ad Loc before having to download content. Dated 16th October 2006 ... – PowerPoint PPT presentation

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Title: Ad Loc: Location-based Infrastructure-free Annotation


1
Ad Loc Location-based Infrastructure-free
Annotation
  • Derek J. Corbett and Daniel Cutting
  • University of Sydney
  • University College Dublin, 16th October 2006

2
Motivation
  • Mobile devices are increasingly common
  • Carried with us everywhere
  • Powerful, capacious, wireless
  • Location technologies also appearing
  • GPS, Galileo
  • PlaceLab
  • Location-based services are appealing
  • Does this café serve good coffee?

3
Ad Loc
  • Annotation of physical environment (Post-It
    notes)
  • Tie persistent virtual notes to physical
    locations via a mobile device
  • Notes publicly and asynchronously available
  • No embedded infrastructure or Internet access
    needed
  • Mock application

4
Publishing and Querying
  • User composes a note and publishes it at their
    current location
  • Others arrive at locations and query for
    published notes
  • Empty queries return all notes at a users
    location
  • Constraints can be applied
  • Return all notes with a given subject
  • Limit to recently published notes
  • Etc.

5
Background
  • Stick-e notes, Place-Its,
  • Notes with contextual triggers placed in the
    environment
  • Location-based reminders on mobile phones
  • Location detection
  • GPS now very mature (Assisted GPS, etc.)
  • Galileo designed to work well indoors
  • PlaceLab uses WiFi detection DB
  • Mobile phone cells can provide imprecise location
  • E-graffiti, CampusAware
  • Social studies of environmental annotation
  • People like using them and contributing notes

6
Infrastructure-free
7
Mobile Device Density
500m square region, 82m broadcast radius
8
Cache Replication Policies
  • Basic
  • Any broadcast notes overheard by devices are
    cached
  • Publish
  • Broadcast a note to neighbours upon generation
  • Periodic
  • Periodically broadcast the least overheard cached
    notes
  • Location-aware Periodic
  • Periodically broadcast cached notes relevant to
    the current area
  • All
  • Combination of Basic, Publish and Location-aware
    Periodic

9
Area of Relevance
  • Notes are relevant to specific locations of
    different sizes
  • Inefficient / unnecessary to cache notes on all
    devices
  • Area of Relevance (AOR) definesarea where a note
    is relevant
  • Notes are cached on devicesin or near AOR
  • As more distant users find anote relevant, its
    AOR growsto encompass all such points

10
Ad Loc Summary
  • Ad Loc is an infra-structure free, localised
    persistent and asynchronous platform for
    collaboratively annotating the physical
    environment
  • Localised notes are relevant to specific
    locations
  • Persistent notes remain in the environment
  • Asynchronous publisher and consumer need not be
    simultaneously present
  • Collaborative anyone can publish or read any
    note
  • Infrastructure-free no servers or Internet
    connections

11
Evaluation
  • OMNeT simulation using the Mobility Framework
  • WiFi-enabled devices with a broadcast range of
    82m
  • Simulation duration 3000s
  • Network size 500m x 500m
  • Mobility 1m/s random waypoint model (no pause)
  • Cache flush 500s
  • Periodic replication 20s randomly offset

12
Metrics
  • Recall
  • Traffic Overhead Ratio (TOR)
  • Ad Loc Satisfied Internet Queries (ASIQ)

13
Scenarios
  • City Blocks scenario
  • 400 small locations of radius 10m (e.g. shop
    fronts)
  • Sporting Venue scenario
  • 4 large locations of radius 100m (e.g. stadium
    sections)
  • In each scenario the total area covered by the
    locations was approximately half of the network
    area
  • Initial experiments tested recall and overhead of
    user-created notes

14
Note AvailabilityCity Blocks
15
Note AvailabilitySporting Venue
16
Note OverheadCity Blocks
17
Note OverheadSporting Venue
18
Discussion
  • Critical mass of participants required
  • Surprisingly small!
  • 14 enough for 60-70 recall (density of 1)
  • Good recall properties
  • 28 gives 90 recall (density of 2)
  • Diminishing returns with more nodes
  • Linear scaling overhead with the number of users
  • Cache Replication Policy not too important to
    recall
  • Basic works well enough with less overhead if
    enough queries
  • Otherwise Periodic performs well with low
    overhead

19
Extension Internet Cache
  • Ad Loc can be used to cache data from the
    Internet
  • Data available on internet may be pertinent to
    particular locations
  • Train timetables at stations
  • Movie trailers at cinemas
  • Company websites at company headquarters
  • This data can be downloaded once from the
    Internet and then cached in Ad Loc for others
  • Probe Ad Loc before having to download content

20
Scenarios
  • How much Internet traffic is replaced by Ad Loc
    traffic?
  • Same two scenarios as previous experiment
  • Each location had a set of relevant Internet
    objects
  • City Blocks 20 data items available per location
  • Sporting Venue 2000 data items available per
    location
  • Queried objects chosen from Zipf distribution

21
Internet Cache AvailabilityCity Blocks
22
Internet Cache AvailabilitySporting Venue
23
Internet Cache OverheadCity Blocks
24
Internet Cache OverheadSporting Venue
25
Discussion
  • Reduces the number of Internet lookups
  • A third of queries satisfied locally with just 28
    nodes
  • Works best for many small nearby locations
  • Less reliable for large locations

26
Conclusion
  • Ad Loc provides essentially free access to
    serendipitously available content
  • Doesnt require huge number of participants
  • Algorithms scale well
  • Interesting property notes may disappear at
    night when all devices leave a location
  • But may return next morning!
  • May have different sets of notes at a location
    depending on time of day and function of location

27
Future Work
  • More detailed simulations, realistic mobility
    models
  • Polygonal AORs
  • User Interface
  • Ranking functions for notes
  • Content filters for spam
  • Proxy servers to augment caching
  • Allow notes to be cached overnight, etc.
  • Proxies can be integrated with no extra work

28
Questions?
  • Daniel Cutting dcutting_at_it.usyd.edu.au
  • Corbett. D. and Cutting. D.Ad Loc
    Location-based Infrastructure-free Annotation3rd
    International Conference on Mobile Computing and
    Ubiquitous Networking (ICMU2006)London,
    UKOctober 1113, 2006

29
AD LOC Notes
  • lt id, timestamp, AOR, subject, data gt
  • ID A digest of the subject and the data segment
  • Timestamp Time when the note was last cached
  • Subject A short description of the note
  • Data MIME data component

30
AD LOC What does it mean?
  • Abbreviation of Ad Locum
  • Ad Locum (Latin) To/At the Place/Location

31
Enabling Technologies
  • Location Awareness
  • (A/D)GPS, E911, APS, Base Station Triangulation
  • Ad Hoc Communication
  • 802.11(abg), Bluetooth
  • Infrastructure Based Communications
  • 3G, WiMax, WiBro, GPRS/EDGE
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