liuppa laboratory, university of pau, francecpham.perso.univ-pau.fr/paper/slidewd09.pdf · liuppa...

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Dynamic Scheduling of Cover-Sets in Randomly Deployed Wireless Video Sensor Networks for Surveillance Applications A. Makhoul, C. Pham Abdallah Makhoul [email protected] LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

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Page 1: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

Dynamic Scheduling of Cover-Sets in Randomly

Deployed Wireless Video Sensor

Networks for Surveillance Applications

A. Makhoul, C. Pham

Abdallah [email protected]

LIUPPA Laboratory, University of Pau, France

IFIP Wireless days 2009

Paris

December 2009

Page 2: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 2

Overview

• Introduction of wireless video sensor networks

• Coverage and sensor scheduling problem

• Our scheduling algorithm for creating cover sets

• Reducing Ambiguities

• Experimental Results

Page 3: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 3

Video sensor node

Scalar sensor node

Base station (Sink)

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Internet

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Page 4: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 4

Video Sensor Node

Communication

Field of

View

Mobility?

θ1

),( yxP =

Pan-Tilt-Zoom

cameraZ

Tiltθ2

(Zoom)

N(P, Θ1, Θ2, Z)

Page 5: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 5

Node’s cover set

• Each node v has a Field of View, FoVv

• Coi(v) = set of nodes v’ such as

∪v’∈Coi(v)FoVv’ covers FoVv

• Co(v)= set of Coi(v)

V4V1

V2

V3

V

Co(v)={V1,V2,V3,V4}

Page 6: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 6

Finding v’s cover set

Co(V)= {

{V },

{V 2, V 1},

{V 3, V 1},

{V 2, V 4, V 5},

{V 3, V 4, V 5}}

A = {v ∈ N(V ) : v covers the point “a” of the FoV}

B = {v ∈ N(V ) : v covers the point “b” of the FoV}

C = {v ∈ N(V ) : v covers the point “c” of the FoV}

G = {v ∈ N(V ) : v covers the point “g” of the FoV}

AG={A∩G}

BG={B∩G}

CG={C∩G}

Co(v)=AG×BG×CG

Page 7: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 7

Active node selection

Within a round, each nodedecides to be active or notbased on the messages received from its neighbors

Page 8: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 8

Reducing Ambiguities

• Some applications need more comprehensive interpretation of events or gestures

• Multiview has several advantages– Help circumvent occlusions

– Information from multiple views may convey a higher confidence interpretation

• Collaboration among multiple cameras to reduce ambiguities, by adapting the activity nodes scheduling

• A critical event detected => urgent message to neighbors – End the current round and start of a new one

– The new scheduling must ensure that the target is covered by at least two or more video nodes.

Page 9: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 9

Simulation settings

• OMNET++ simulation model

• Video nodes have communication range of 30m

and video sensing range of 25m, FoV is a sector

of 60°

• Battery has 100 units

• Full coverage is defined as the region initially

covered when all nodes are active

Page 10: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 10

Percentage of active nodes

Battery decreases by

1 unit/round

Full coverage

Page 11: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 11

Percentage of Area Coverage

Page 12: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 12

Disambiguation feature

Time of identification

Page 13: LIUPPA Laboratory, University of Pau, Francecpham.perso.univ-pau.fr/Paper/SlideWD09.pdf · LIUPPA Laboratory, University of Pau, France IFIP Wireless days 2009 Paris December 2009

IFIP WD 2009 13

Conclusions & future works

• Distributed algorithm for sensor nodes

scheduling in video sensor networks

• Reducing ambiguities of detected objects

• Extension for risk-based scheduling in intrusion

detection systems

• Critical applications

• Congestion control