distance estimation by constructing the virtual ruler in anisotropic sensor networks yun wang,kai...

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Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang ,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple University, Philadelphia, PA INFOCOM 2010

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Page 1: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks

Yun Wang ,Kai Li, Jie Wu

Southeast University, Nanjing, China,

Temple University, Philadelphia, PA

INFOCOM 2010

Page 2: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Outline

Introduction Method Simulation Conclusion

Page 3: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Introduction

Locations of sensor nodes are important for operations in WSNs.

Page 4: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Introduction

Performance heavily depends on the precision of distance estimation.

Beacon node

Sensor node

Page 5: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Introduction

In an anisotropic WSN, huge errors may be introduced into distance estimation because of irregular deployment.

Beacon node

Sensor node

Page 6: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Objective

Make the estimated distance ED(s,t) as close to its corresponding D(s,t) as possible.

ED(s,t)

D(s,t)

Page 7: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

System model & Assumptions

Large number of sensor nodes in a WSN so that any node is able to obtain enough neighboring nodes with a limited flooding operation.

Page 8: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Overview

Constructing The Virtual Ruler

Beacon node

Sensor nodeHole

TN:Turning Node

),(

),(),(=

ts

ts-tsMLink_error

DD

2.0=10

1012 -

1012

Page 9: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Overview

Constructing The Virtual Ruler

Beacon node

Sensor nodeHole

TN:Turning Node1012

Page 10: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Calculation of Dominating Degree

Observation

Page 11: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Calculation of Dominating Degree

Obtain a set of surrounding nodes by executing a limited flooding operation from m.

m

Hole

DD(n)=8

Avg_ DD(m)=7

DD(m)=6

Avg_ DD(m,n)-DD(m)=7-6=1

Threshold=2>1

Page 12: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Calculation of Dominating Degree

Obtain a set of surrounding nodes by executing a limited flooding operation from m.

n1

n2m

n

3

5

7

Hole

Page 13: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Calculation of Dominating Degree

n1

n2m DD(m)=6

Avg_ DD(m)=9

Avg_ DD(m,n)-DD(m)=3

Threshold=2<3

Page 14: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Distance Estimation

s

t

n1

)(

)(_*_=

mDD

mDDAvgScaleBasicfactor

Predefined parameter indicating the increasein Scale after a turning node

3

5

(3+5)*factor=8*0.85=6.8

6.8

hole

hole

21

23

22

211-

2

+=

dd

dddcosAngle

Page 15: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Distance Estimation

s t

n1

n2

n3

Page 16: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Review

The Virtual Ruler

Beacon node

Sensor nodeHole

TN:Turning Node

Page 17: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Simulation

Implemented the above algorithms in C++ 5548 nodes are randomly deployed Average node degree 6.2

Page 18: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Simulation

DV-DistanceOur method

Page 19: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Simulation

Page 20: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Simulation

Page 21: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Conclusion

Design and evaluate a new distance estimation scheme for anisotropic WSNs.

Page 22: Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple

Thanks for your attention!!