Floating Content: Infrastructure-less Information Sharing in Urban - - PowerPoint PPT Presentation

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Floating Content: Infrastructure-less Information Sharing in Urban - - PowerPoint PPT Presentation

Floating Content: Infrastructure-less Information Sharing in Urban Environments Jussi Kangasharju, Jrg Ott, Ossi Karkulahti Esa Hyyti, Jorma Virtamo, Pasi Lassila Infrastructure-less Content Sharing Ad-hoc local social network-style


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SLIDE 1

Floating Content: Infrastructure-less Information Sharing in Urban Environments

Jussi Kangasharju, Jörg Ott, Ossi Karkulahti Esa Hyytiä, Jorma Virtamo, Pasi Lassila

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Infrastructure-less Content Sharing…

  • Ad-hoc local social network-style information sharing:

Digital graffiti w/o servers and infrastructure

  • Leaves notes, comments, stories, etc. in places
  • Define reach (area of interest) and lifetime
  • Leverage delay-tolerant ad-hoc communication between

mobile devices for information replication & acquisition

– Could borrow content channels from PodNet

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SLIDE 3

…in Urban Environments?!

  • Location privacy
  • Content “privacy”
  • Connectivity (to infrastructure)
  • Geographic validity
  • Temporal validity
  • User identification
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SLIDE 4

Floating Content Example

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SLIDE 5
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SLIDE 6

Floating Model

r a Anchor zone Buffer zone

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SLIDE 7

Replication & Deletion

Replication

  • ƒ(d) from anchor point
  • r, a for priority scheduling
  • 1 within anchor zone

Deletion

  • Only if buffer space needed
  • ƒ(d) from anchor point
  • r, a as tie breakers
  • TTL-based deletion

1 r a r a 1

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SLIDE 8

Content spread and prioritization

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SLIDE 9

Some Simulation Findings

  • ONE Simulator: 2000 x 2000m simulation area
  • Variables

– Radio range: l – Number of nodes: density – Size of anchor zones r – Initial mobility models: static nodes, random waypoint

  • Metrics

RAR := l r

Availability := # nodes in the anchor zone with item # total nodes in the anchor zone

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SLIDE 10

Mobile (RWP) vs. Stationary Nodes

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SLIDE 11

Impact of mobility and stationary density

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SLIDE 12

Memory: Availability over Time

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SLIDE 13

Some Conclusions

  • Simple, yet appealing geo cooperation model
  • Workable already for modestly dense scenarios

– Simulations do not disagree with theoretical modeling

  • Some built-in DoS protection and garbage collection
  • API and content sharing applications tbd.
  • Probabilistic operation and user acceptance?
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SLIDE 14

Present & Future Work

  • Theoretical foundations
  • More extensive simulation studies

– Impact of location fuzziness – More diverse mobility models – Varied offered load, resource sharing

  • Implementation