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Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

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Introduction Important issues in WSN Energy Network lifetime Cluster Enables the efficient utilization of the limited energy resources of the deployed sensor nodes

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Page 1: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering

Stanislava Soro Wendi B. Heinzelman

University of RochesterIPDPS 2005

Page 2: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Outline

• Introduction• Network Model• Theoretical Analysis• Simulations• Conclusions

Page 3: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Introduction

• Important issues in WSN• Energy• Network lifetime

• Cluster• Enables the efficient utilization of the

limited energy resources of the deployed sensor nodes

Page 4: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Introduction

• Equal Cluster Size• While in multi-hop communication, the nodes

closest to the base station are burdened with a heavy relay traffic load and die first

• Network partition

• Motivation• Maintain more uniform energy consumption

among the cluster heads, so that the total energy dissipated for every cluster head is similar

Page 5: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Environment

N sensor nodes

A smaller number of more powerfulNodes are deployed to serve as C.H.Nodes with pre-determined locations

Page 6: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Network Model

• Data aggregation• Perfect aggregation• Nonperfect aggregation

• The position of cluster heads• The energy consumed in each cluster of

each layer

Page 7: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Network Model --aggregation

• Perfect aggregation• Cluster head compresses all the data recei

ved from its cluster into one outgoing packet

• Nonperfect aggregation• Cluster head sends more than one outgoin

g packet toward the base station

Page 8: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Network Model --cluster header

• Overall energy consumption of nodes that belong the C.H.

• Keep the energy within in the C.H. as small as possible

Page 9: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Network Model --energy consumption

• P: p-bit packet• e1,e2 : Transmission/Amplifier• e3: aggregation consume• Ni: sensor in cluster i

Page 10: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Theoretical analysis

• Present the evaluation of the energy consumption for two clustered models• Equal Clustering Size (ECS)• Unequal Clustering Size (UCS)

• Compare the total energy consumed between ECS and UCS models, if the network is dimensioned to last at least T rounds

Page 11: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

ECS

• For ECS, the radius of each layer is

• : Energy spent of C.H. in layer 1• : Energy spent of C.H. in layer 2

Page 12: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

ECS

• The battery of sensor nodes• The furthest node from its cluster head

• Every node has to be equipped•

Page 13: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

UCS

• Energy spent of cluster header•

• Sensor node has to be equipped•

Page 14: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

• Simulator : MATLAB• Ra: 200 m• Deploy node :400 nodes• R1: Ra[0.2, 0.9]

Page 15: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

Ratio of the total energy spent on batteries for the entire network for UCS and ECS

Every cluster head sends 1 aggregated packet.

Page 16: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

Ratio of the total energy spent on batteries for the entire network for UCS and ECS

The cluster heads perform aggregation with efficiency α = 0.1.

Page 17: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

Ratio of the total energy spent on batteries for the entire network for UCS and ECS

The cluster heads perform aggregation with efficiency α = 1.

Page 18: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

Maximum number of rounds for UCS and ECS.

Page 19: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

The ratio of average number of nodes in clusters in layer 1 and 2.

Page 20: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Simulation

• Consider 3 layers of clusters around the base station

• The ratio of the number of nodes in clusters of layer 1 and 2, and ratio of layer 2 and 3 is approximately equal to 1

Page 21: Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005

Conclusions

• We analyze an approach for the hierarchical organization of wireless sensor networks where, in order to balance the energy consumption of cluster head nodes, unequal size clusters are formed