Anchor Nodes Placement for Effective Passive Localization - PowerPoint PPT Presentation

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Anchor Nodes Placement for Effective Passive Localization

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Title: Non-uniform Grid-based Coordinated Routing Author: Priyanka Last modified by: Karthikeyan Pasupathy Created Date: 8/16/2006 12:00:00 AM Document presentation ... – PowerPoint PPT presentation

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Title: Anchor Nodes Placement for Effective Passive Localization


1
Anchor Nodes Placement for Effective Passive
Localization
  • Karthikeyan Pasupathy
  • Major Advisor Dr. Robert Akl
  • Department of Computer Science and Engineering

2
Outline
  • Objective
  • Overview of Sensor Networks
  • Localization
  • Motivation
  • Anchor Node Placement
  • Simulations and Results
  • Conclusions and Future Directions

3
Objective
  • How to place anchor nodes for better passive
    localization ?

4
Overview of Sensor Networks
  • Made of tiny sensor nodes networked together
  • Communicate wirelessly

5
Overview of Sensor Networks
  • Architecture

6
Overview of Sensor Networks
  • Limitations
  • Deployment
  • Short lifetime
  • Unmanned

7
Overview of Sensor Networks
  • Applications
  • Military
  • Reconnaissance, surveillance, shooters location,
    target tracking etc.
  • Environment
  • Track animals, birds, environmental conditions
    detect forest fires, floods

8
Overview of Sensor Networks
  • Applications
  • Healthcare
  • Monitor doctors, patients, drug administrators
  • Hospitals monitor physiological signals
  • Medication avoid wrong medication

9
Overview of Sensor Networks
  • Applications
  • Domestic
  • Smart home
  • Smart kindergarten
  • Industry
  • Machine diagnosis monitor radiation, material
    fatigue, product quality

10
Localization
  • Where are these nodes ?
  • Local position
  • Global position
  • How to localize?
  • GPS

11
Localization
  • Localization Systems
  • Centralized
  • Distributed

12
Localization
  • Centralized
  • Not limited by algorithm
  • More accurate results
  • Traffic congestion
  • Computational complexity

13
Localization
  • Distributed
  • Usually iterative
  • Algorithms generally energy efficient and self
    organizing
  • Less accurate

14
Localization
  • Different techniques
  • Received Signal Strength (RSS)
  • Time of Arrival (TOA)
  • Angle of Arrival (AOA)

15
RSS
  • Signal strength
  • Inverse Square law
  • Error of several meters
  • Less accurate
  • Vulnerable to occlusions

16
Radio Hop Count
  • Nodes separated by at most R
  • Affected by hindrances

17
TOA
  • Difference in propagation speed of signals

18
TOA
  • More accurate
  • Vulnerable to occlusions

19
Angle of Arrival
  • Phase / Time difference recorded by an array of
    microphones
  • Expensive
  • Bulkier
  • Not practical to implement
  • Sensor size shrinks

20
Passive Localization
  • Why passive ?
  • Nodes are silent
  • Advantages
  • No external source for signals
  • Can work with existing data
  • Can be used in most outdoor applications

21
Passive Localization
  • Disadvantages
  • Centralized
  • Not suitable for indoor applications

22
Passive Localization
  • Event detection
  • Projected distances
  • Localization
  • Distance Matrix
  • SVD

23
Passive Localization
  • Localization
  • Linear Combination coefficients

24
Motivation
  • Deployment of anchor nodes at specific position
    not easy
  • Function of anchor nodes are different in passive
    localization

25
Anchor Node Placement
  • Density
  • Better to have more anchor nodes
  • Deployment and hardware costs
  • Redundancy
  • Geometry
  • No three anchor nodes may be linearly related

26
Simulations and results
  • Assumptions
  • Propagation velocity unity
  • Clocks - time synchronized.
  • Global events - distributed around the network.
  • Signal processing skipped

27
Simulations and results
  • Assumptions
  • Ideal case no redundancy
  • Global event static sources

28
Simulations and Results
  • User Interface

29
Simulations and Results
  • Localization Error

30
Simulations and Results
  • Random deployment

n 10, k 3
31
Simulations and Results
  • Random deployment

n 10, e 20
32
Simulations and Results
  • Manual deployment Sparse network

? Sensor Nodes Computed position ? Anchor
Nodes
(Lerr 15.52)
33
Simulations and Results
  • Manual deployment Sparse network

(Lerr 9.68 )
34
Simulations and Results
  • Manual deployment Sparse network

(Lerr 5.75 )
35
Simulations and Results
  • Manual deployment Dense network

(Lerr 18.63 )
36
Simulations and Results
  • Manual deployment Dense network

(Lerr 12.24 )
37
Simulations and Results
  • Manual deployment Dense network

(Lerr 43.75 )
38
Simulations and Results
  • Manual deployment Dense network

(Lerr 586.54 )
39
Simulations and Results
  • Manual deployment Dense network

(Lerr 14.92 )
40
Simulations and Results
  • Manual deployment Dense network

(Lerr 14.11 )
41
Simulations and Results
  • Manual deployment Dense network

(Lerr 11.57 )
42
Simulations and Results
  • Manual deployment Dense network

(Lerr 11.32 )
43
Simulations and Results
  • Manual deployment Dense network

(Lerr 11.54 )
44
Conclusions
  • Investigated positioning of anchor nodes
  • Better to deploy anchor nodes at the center of
    the network
  • Less linearity Better localization
  • Placing at right angles
  • Real situations may be different

45
Future Directions
  • Implementation on motes.
  • Third dimension
  • Time synchronization
  • Mobile global events

46
  • Questions ?
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