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Globecom 2004 Energy-Efficient Self- Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qil ian Liang Department of Electrical En gineering University of Texas at Arli ngton
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Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Dec 20, 2015

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Page 1: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully

Distributed approach

Liang Zhao, Xiang Hong, Qilian LiangDepartment of Electrical EngineeringUniversity of Texas at Arlington

Page 2: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Outline

Introduction to Cluster-based Sensor Networks

LEACH Protocol Review Problem Formulation Expellant Self-Organization Scheme Simulation Conclusion

Page 3: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Cluster-based Sensor networks(1/2)

Homogeneous versus Heterogeneous Single hop versus Multi-hop

BS

Advantage: Robust to node failures.Drawbacks: (1) High load on cluster head(2) The hardware has to support

(a) long range transmissions(b) complex data computations(c) co-ordination of MAC(d) routing within a cluster.

Advantage: Sensor nodes only requires simple hardware support.

Drawbacks: (1) Less robust to node failure(2) Sensors far from cluster head have

highest energy expenditure(3) Uniform clustering has to be

considered.

Single hop homogeneous networks Single hop heterogeneous networks

BS

Page 4: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Cluster-based Sensor networks(2/2)

BS

Multi-hop homogeneous networks Multi-hop heterogeneous networks

BS

Sensors near cluster head have highest energy expenditure

Distance from cluster head

Energy Single hopMulti hop

[ Infocom04 , Globecom04 ]

[ 2 * Globecom04 ]

Page 5: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

LEACH Protocol

1. Single hop homogeneous networks

2. Random cluster head rotation

3. Perfect data correlation model– All individual packets from members of the same

cluster can be combined into a single representative packet.

Page 6: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

LEACH Protocol

In LEACH, each node i elects itself

to be a head at the beginning of

round r+1 with probability Pi(t).

(1)

(a) Ci(t) is the indicator function determining whether or not node i has been a head in the most recent (r mod (N/c)) rounds.

(b) c is the desired number of clusters

Page 7: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

(2)

Ei(t) is the current energy of node i

Page 8: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Problem Formulation

1. N in (1) and Etotal in (2) are global information

2. Too few or too many cluster heads []3. Non-uniform distribution of cluster heads

Page 9: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Random election

(1) Suppose

(2) All nodes have equal amount of energy,

if N nodes want to elect c heads, then the self-electing probability for each node is

[back]

Page 10: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Expellant Self-Organization Scheme

Contribution:

Turn the question about “how many clusters should the nodes be partitioned? “

into “What is the appropriate cluster size?”

Page 11: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

[Example]

Page 12: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Expellant Self-Organization Scheme

ExampleStep 1: Each node broadcasts vital information (energy, location,…etc) at cluster radius Rc (Rc is a predetermined system parameter)

Rc

Step 2: Each node counts its neighbors and broadcasts the number of its neighbors at cluster radius Rc

2

1

2

3

1

1

0

•N is the set of neighbors•B(i) is the number of neighbors of the ith neighbor• r = 0.8 in this paper

Step 3: Each node decides to become cluster head according to its potential and broadcast its claim( Using random back-off to avoid collision)

Potential:

)()1()(max iBmeanriBrBNiNi

Th

Page 13: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Expellant Self-Organization Scheme

Step 4: Nodes sends “Joint” message to join the nearest cluster head

2

1

2

3

1

1

0

Step 5: Nodes that are outside the neighborhood of existing cluster head forces itself to be a cluster head

“Joint”

[back]

Page 14: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Simulation

100 nodes Each has 2J initial energy Evenly distributed in a circular region with

diameter 100m Base station located at (125m, 0)

Page 15: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Radio Energy Dissipation Model

Page 16: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Optimal c (1/2)

Page 17: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

Optimal c (2/2)

Page 18: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

ESO versus LEACH (1/2)

Page 19: Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Globecom 2004

ESO versus LEACH (2/2)