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The Cricket Indoor Location System

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The Cricket Indoor Location System. Hari Balakrishnan. Bodhi Priyantha, ... Cricket provides location information for mobile, pervasive computing applications ... – PowerPoint PPT presentation

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Title: The Cricket Indoor Location System


1
The Cricket Indoor Location System
  • Hari Balakrishnan
  • Bodhi Priyantha, Allen Miu,
  • Jorge Nogueras, John Ankcorn, Kalpak Kothari,
  • Steve Garland, Seth Teller
  • MIT Laboratory for Computer Science
  • http//nms.lcs.mit.edu/

2
Motivation
  • Location-awareness will be a key feature of many
    future mobile applications
  • Many scenarios in pervasive computing
  • Active maps
  • Resource discovery and interaction
  • Way-finding navigation
  • Stream redirectors
  • Cricket focuses mainly on indoor deployment and
    applications

3
Where am I?(Active map)
4
Whats near me? Find this for me(Resource
discovery)
Print map on a color printer, and system
sends data to nearest available free color
printer and tells you how to get there
Location by intent
5
Whats in this direction?(Viewfinder)
Point-and-use UIs
6
How do I get to Satyas office?How do I get to
Compaqs booth at Comdex?
7
Desired Functionality
  • What space am I in?
  • Room 510, reception area, Compaqs booth,
  • How do I learn more about whats in this space?
  • An application-dependent notion
  • What are my (x,y,z) coordinates?
  • Cricket GPS
  • Which way am I pointing?
  • Cricket compass

8
Design Goals for Cricket
  • Must determine
  • Spaces Good boundary detection is important
  • Position With respect to arbitrary inertial
    frame
  • Orientation Relative to fixed-point in frame
  • Must operate well indoors
  • Preserve user privacy dont track users
  • Must be easy to deploy and administer
  • Must facilitate innovation in applications
  • Low energy consumption

9
System Components
  • Location inference modules
  • Hardware, software, algorithms for space,
    position coordinates, orientation
  • Programming (using) Cricket
  • API language-independent RPC
  • Customized beaconing
  • Deploying and managing a Cricket deployment
  • Configuration, security, data management

10
Cricket Architecture
Beacon
Estimate distances to infer location
Listener
No central beacon control or location
database Passive listeners active beacons
preserves privacy Straightforward deployment and
programmability
11
Machinery
B
Beacons on ceiling
ltSPACEgt NE43-510 ltIDgt34lt/IDgt lt/SPACEgt ltCOORDgt1
46 272 0lt/COORDgt ltMOREINFOgt
http//cricket.lcs.mit.edu/ lt/MOREINFOgt
Cricket listener
Mobile device
Mobile device
Obtain linear distance estimates Pick nearest to
infer space Solve for mobiles (x, y,
z) Determine ? w.r.t. each beacon and deduce
orientation vector
12
MOREINFO Database
ltSPACEgt NE43-510 ltIDgt34lt/IDgt lt/SPACEgt ltCOORDgt1
46 272 0lt/COORDgt ltMOREINFOgt
http//cricinfo.lcs.mit.edu/ lt/MOREINFOgt
Centralized DB key to simple administration
13
Determining Distance
Beacon
Ultrasound (pulse)
Listener
  • A beacon transmits an RF and an ultrasonic signal
    simultaneously
  • RF carries location data, ultrasound is a narrow
    pulse
  • The listener measures the time gap between the
    receipt of RF and ultrasonic signals
  • A time gap of x ms roughly corresponds to a
    distance of x feet from beacon
  • Velocity of ultra sound ltlt velocity of RF

14
Multiple Beacons Cause Complications
Beacon A
Beacon B
Incorrect distance
t
Listener
RF B
RF A
US B
US A
  • Beacon transmissions are uncoordinated
  • Ultrasonic signals reflect heavily
  • Ultrasonic signals are pulses (no data)
  • These make the correlation problem hard and can
    lead to incorrect distance estimates

15
Solution
  • Carrier-sense randomized transmission
  • Reduce chances of concurrent beaconing
  • Bounding stray signal interference
  • Envelop all ultrasonic signals with RF
  • Listener inference algorithm
  • Processing distance samples to estimate location

16
Bounding Stray Signal Interference
  • Engineer RF range to be larger than ultrasonic
    range
  • Ensures that if listener can hear ultrasound,
    corresponding RF will also be heard

17
Bounding Stray Signal Interference

S size of space advertisement b RF bit
rate r ultrasound range v velocity of
ultrasound
(RF transmission time) (Max. RF-US
separation
at the listener)
  • No naked ultrasonic signal can be valid!

18
Bounding stray signal interference

RF B
US B
RF A
US A
t
  • Envelop ultrasound by RF
  • Interfering ultrasound causes RF signals to
    collide
  • Listener does a block parity error check
  • The reading is discarded...

19
Preventing repeated interactions
  • Randomize beacon transmissions
  • loop
  • pick r UniformT1, T2
  • delay(r)
  • xmit_beacon(RF,US)
  • Optimal choice of T1 and T2 can be calculated
    analytically
  • Trade-off between latency and collision
    probability
  • Erroneous estimates do not repeat

20
Estimation AlgorithmWindowed MinMode
A
Frequency
B
5
Distance (feet)
5
10
21
Orientation
B
Beacons on ceiling
Orientation relative to B on horizontal plane
?
Cricket listener with compass hardware
Mobile device (parallel to horizontal plane)
22
Trigonometry 101
Beacon
Idea Use multiple ultrasonic sensors and
estimate differential distances
sin ? (d2 - d1) / sqrt (1 - z2/d2) where d
(d1d2)/2
Two terms need to be estimated 1. d2 d1 2.
z/d (by estimating coordinates)
Heading
23
Differential Distance Estimation
  • Problem for reasonable values of parameters (d,
    z), (d2 - d1) must have 5mm accuracy
  • Well beyond all current technologies!

Estimate phase difference between ultrasonic
waveforms!
24
Making This Idea Work
Beacon
d2
d3
d1
L23
L12
t
3l/2
4l/2
Estimate 2 phase differences to uniquely estimate
d2-d1 Can do this when L12 and L23 are
relatively-prime multiples of l/2
25
Coordinate Estimation
B
Beacons on ceiling at known coordinates
?
(x,y,z)
Four equations, four unknowns Velocity of sound
varies with temperature, humidity Can be
eliminated (or calculated!)
26
Deployment Beacon Placement Considerations
  • Placement should allow correct inference of space
  • Boundaries between spaces need to be detected
  • Placement should provide enough information for
    coordinate estimation
  • No 4 beacons on same circle on a ceiling
  • At least one beacon must have ? lt 40 degrees
  • sin ? (d2 - d1) / sqrt (1 - z2/d2), so Dq
    goes as tan q

27
Problem Closest Beacon May Not Reflect Correct
Space
Room A
Room B
I am at B
28
Correct Beacon Placement
Room A
Room B
x
x
I am at A
  • Position beacons to detect the boundary
  • Multiple beacons per space are possible

29
System Administration
  • Password-based authentication for configuration
  • Currently, coordinates manually entered
  • Working on algorithm to deduce this from other
    beacons
  • MOREINFO database centrally managed with Web
    front-end
  • Relational DBMS
  • Challenge queries that dont divulge device
    location, but yet are powerful

30
Cricket v1 Prototype
RF module (rcv)
RF module (xmit)
Ultrasonic sensor
Ultrasonic sensor
RF antenna
Listener
Beacon
Atmel processor
RS232 i/f
Host software libraries in Java Linux daemon
(in C) for Oxygen BackPaq handhelds Several apps
31
Deployment
32
Some Results
  • Linear distances to within 6cm precision
  • Spatial resolution of about 30cm
  • Coordinate estimation to within 6cm in each
    dimension
  • Orientation to within 3-5 degrees when angle to
    some beacon lt 45 degrees
  • Several applications (built, or being built)
  • Stream redirection, active maps, Viewfinder,
    Wayfinder, people-locater, smart meeting
    notifier,
  • Probably no single killer app, but a whole suite
    of apps that might change the way we do things

33
Alternative Architecture (Active Badge, Bat
Systems)
Location DB
ID u?
Networked sensor grid
ID u
Responder
Problems privacy administration scalability
deployment cost
34
Comparisons
Active Badge Bat RADAR Cricket
Tracking? Yes Yes Depends No
Deployment Central controller wired IR sensors Central controller wired RF /USsensors RF signal map great radios Beacon placement wireless
Spatial resolution Room ? (linear few cm) Room 30cm (linear 5cm)
Orientation No No No Yes 3-5 degree prec.
Scalability All devices transmit periodically All devices transmit periodically All devices must use same RF net Devices passive distributed scheduling
35
Summary
  • Cricket provides location information for mobile,
    pervasive computing applications
  • Space
  • Position
  • Orientation
  • Flexible and programmable infrastructure
  • Deployment and management facilities
  • Starting to be used by other research groups
  • http//nms.lcs.mit.edu/
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