David Beckemeyer’s Presentation at eComm 2009

Harnessing Latent Mobile Phone Resources For Wireless Telemetry

Mobile Phone Sensor-Net
Mobile phones are practically ubiquitous. Everyone carries them and most of them are turned on and connected 24x7. Today's mobile phones, even the least expensive ones, have sensors, spare cycles, and connectivity. These resources can be applied to a wide variety of Social Telemetry Applications , to powerful, and potentially even troubling, effect. We present findings of a real-world deployment of such a system.

Mobile Phone Sensor-Net Analysis P2P Super-Node Basic “edge” (people) Edge-Plus Fixed (anchor) Node
Hybrid P2P and client/server
Autonomous, unattended operation

Mobile Phone Sensor-Net Location Proximity Signaling Basic phone • Bluetooth • SMS

Ambient Awareness Stream
Autonomous
Peer nodes share with each other and upload to cooperating “super-nodes” via Bluetooth
Edge devices can also act on SMS and other triggers (position reports, geofence, etc.)

Ambient Awareness Stream Location updates time

Ambient Awareness Stream
Proximity to other mobiles and fixed (anchor) radios
Enables “crowd” predictions even if devices are not participating
Bluetooth devices coming and going time

Mobile Phone Sensor-Net Theater Mall As a person moves around among other people and things, patterns emerge.

Conclusions
Mobile phones can effectively serve as a Sensor-Net , without noticeable impact to normal phone operations, performance, battery life, reliability etc.
Achieved off-net without carrier participation or cooperation
Basic phones, “smart” phones, PCs and back-office operating together
Wi-fi, GPS, and 3G are not required
Get practical and effective results using low-end phones
Combining location, time, proximity, and signaling provides significantly richer picture than location alone

Thank You David Beckemeyer [email_address]

David Beckemeyer’s Presentation at eComm 2009

by eCommConf on Mar 05, 2009

Accessibility

Categories

Tags

Upload Details

Usage Rights

1 Embed 2

Statistics

David Beckemeyer’s Presentation at eComm 2009 — Presentation Transcript