1. Hong Lu , Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell
Bubble-Sensing: A New Paradigm for Binding a Sensing Task to the Physical World using Mobile Phones
Hong Lu , Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell
Dartmouth College

2. Idea Problems Idea Bubble-Sensing hong@cs.dartmouth.edu Goal
Attach sensing request to the area of interest
Problems
Hold the bubble in the area of interest
Recover from lost bubble
Exploit heterogeneous devices
Idea
Opportunistically leverage the devices that remain in the area or pass through to fulfill the sensing request and maintain the binding
Bubble-Sensing

3. Bubble Sensing Virtual roles Idea Sensing Bubble Bubble creator
Opportunistically leverage cell phone density within the area to maintain coverage
Sensing Bubble
(action, region, duration)
Virtual roles
Bubble creator
Bubble anchor
Bubble carrier
Sensing node
Take a photo here !!
Bubble-Sensing

4. Bubble Creation Phase Bubble-Sensing hong@cs.dartmouth.edu
Bubble Server
Bubble Anchor
Mobile Sensor
Bubble Creator
Bubble-Sensing

5. Bubble Maintenance Phase
Bubble Server
Bubble Anchor
Bubble Anchor
Simulation of three representative techniques:
Hop counting
Centroid
MCL
Zebranet based mobility model.
Techniques sensitive to beacon or node density.
Failure to produce location estimates (or estimates are highly inaccurate in the case of MCL)‏
Although required, existing localization schemes are weak.
One of the few examples of these sensor networks – zebra net used for this simulation.
Point was to examine the performance of three approaches to localizatoin and how they would fare
In this environment.
They perform poorly.
Quickly describe the simulation. Hey what are the axis. Tell tell them exactly what is shown. And which are the schemes and the setup.
And note the MCL issue.
Question someone may ask: - be ready for it - what is MCL? What is centroid? What is Amphrhous???
MAKE SURE YOU RE-READ THESE PAPERS!!! Be nice to maybe talk about other applications of monte carlo??? In other areas?
Mobile Sensor
Mobile Sensor
Bubble-Sensing

6. Bubble Restoration Phase
Bubble Server
Mobile Sensor
Bubble Anchor
Bubble-Sensing

7. Bubble Restoration Phase
Bubble Server
Bubble carrier
Mobile Sensor
Bubble Anchor
Bubble-Sensing

8. Test bed Implementation
Device
Nokia N95,
Nokia N80 + BlueCel dongle
Pys60
WiFi based communication
Ad-Hoc mode
infrastructure mode
4mw
Beacon based WiFi localization
The sensing task:
Take sound clips
Bubble-Sensing

9. Sensing Coverage over Time
Make sure you discuss how you built the classifier and what it does.
What is the feature vector?
Then discuss the performance of it.
Make sure you read up about decision trees and the specifics of j48 before you forget the details.
Bubble-Sensing 9

10. Fidelity Bubble-Sensing hong@cs.dartmouth.edu
Make sure you discuss how you built the classifier and what it does.
What is the feature vector?
Then discuss the performance of it.
Make sure you read up about decision trees and the specifics of j48 before you forget the details.
Bubble-Sensing

11. Related Work Mobile phone as a sensing device
UCLA, UIUC, MIT, Ohio State
Nokia, Motorola, Intel, Microsoft
Exploit location information
Routing, Geocast
geographic storage, DCS, GHT
Theoretical work
Virtual static node
Where to next?
Analysis of ABL within a full scale testbed
Stocastic analysis of system
Realistic outdoor experiments. Using metrosense testbed.
Bubble-Sensing

12. Thanks for Listening
Bubble-Sensing

13. Sensing Coverage over Time
Make sure you discuss how you built the classifier and what it does.
What is the feature vector?
Then discuss the performance of it.
Make sure you read up about decision trees and the specifics of j48 before you forget the details.
Bubble-Sensing