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ENERGY EFFICIENT
CLUSTERING ALGORITHMS
FOR WIRELESS SENSOR NODES
Shivang Rana
INTRODUCTION TO CLUSTERING
• Clusters: Disjoint Sensor nodes in non-overlapping subsets.
• Clustering: Using Clusters, to perform energy optimization &
support scalability.
• Determines the set of nodes that provide backbone to connect
network to base stationHierarchical Model
Member Nodes: Data sensing transmitting to
Cluster Head Cluster Head: Data Aggregation
transmitting to Base StationM
C
M
M
M
M
M M
Cluster Head can use single hop to relay data to other
heads
Need of Re-Clustering : Load Balancing
Position of Cluster-Head: key to Energy Efficient
Multi-hopping Routing: Inner Cluster-Head
CLUSTERING OBJECTIVES:
• Load Balancing:
-Equal sized Clusters
-No Cluster head gets exhausted faster.
-Identical no. of Sensor Node in each Cluster
• Fault Tolerance: if Cluster head is damaged
-Re-Clustering
-Using Backup-Cluster head (Assigned)
-Using Rotation Strategy
• Lesser Energy Consumption:
-Data Aggregation
-Inner- Cluster & Intra-Cluster Communication : lessens longer
transmission losses
-Cluster Head: Only Data communication
• Path minimization Energy
Optimization
AIM
CLUSTERING OBJECTIVES:
• Improved Connectivity & Lesser Delay:
-Directly connecting each Cluster Head with Base Station can lead to
limited & restricted length of communication.
-Inter cluster head communication or Long range communication
abilities.
• Latency Reduction:
-Data collisions avoiding: Only Cluster Head perform data transmission
-Data broadcast: Flooding in Flat routing Scheme: Hop by Hop
• Least Cluster Count:
-Cluster Head: Resource-rich
-Try to minimize: Cause CH more susceptible & precious than other
SNs.
• Maximize the Network Lifetime: Increasing Life-Span of
Cluster
CLUSTERING OBJECTIVES:
• Data Aggregation: ( Clustering head)
-To eradicate the redundant communication & provide the merged data
to BS
-CHs shaped as tree structure to broadcast aggregated data by multi-
hopping
• More Robustness:
-More handier to control network topology changes: Cause it happens
in one cluster only & the whole full network remains strong only
• Energy Hole Avoidance:
-Each node msg: Self generated & relayed traffic
-Sensor nodes closer to BS, are needed to broadcast more traffic
towards BS
-This creates an energy hole around BS, cause nearby nodes exhaust
energy faster
• Collision Avoidance:
-Two modes known Intra-Cluster & Inter-Cluster.
CLUSTER BASED ROUTING PROTOCOLS
• Hierarchical Routing Protocol :
-Minimize energy utilization during data gathering &
disseminating.
-Node : Great processing power  Cluster Head
-CH : totals the data sent by powered sensor nodes
LEACH (Low Energy Adaptive Clustering Hierarchy)
PEGASIS (Power-efficient gathering sensor information system)
TEEN (Threshold Sensitive Energy Efficient Sensor Network Scheme)
APTEEN (Adaptive Periodic Threshold-Sensitive Energy Efficient)
EEHC
HEED (Hybrid, Energy-Efficient & Distributed)
UCS (Unequal Clustering Size)
FBR (Flow Balanced Routing)
EECS (Energy Efficient Clustering Scheme)
PEACH (Power Efficient & Adaptive Clustering Hierarchy)
TTCRP (Two Tier Cluster Based Routing Protocol)
DAIC (Distance Aware Intelligent Clustering)
LEACH (Low Energy Adaptive Clustering
Hierarchy)
• Known & Elegant Clustering Algorithm : by selecting CHs in
rounds
• Rotation of Group Heads among the Cluster
• Balanced Energy Utilization  Extended Lifetime
• Each Round has two stages:
-Set Up Stage : Election of CH
-Steady Stage : Work done by elected CH
• Structure Nodes based on : Signal Quality
-Local Cluster Heads : Routers to the SINK
LEACH (Low Energy Adaptive Clustering
Hierarchy)
• Steady State:
• To minimize Overhead: Time-Frame
Steady State > Setup State
• LEACH: Self Organization Technique  Optimizes WSN
communication
• Mobility is supported
• A choice of Favourable cluster heads at the current round
Unfavourable cluster-heads determination in the later
round.
•Sensing
•Transmitting
data
Node
•Data Aggregation
•Sending Data
Cluster-Head
•Acquiring Data
•Indicate or even
take control
steps
Base Station
ISSUE
• Better Solution : Updating Threshold Value
By incorporating a factor that raises the threshold for any node
that has not been a cluster head for a certain number of rounds.
• Thus, possibility of this node turning into a cluster head
expands due to the higher threshold.
PEGASIS (Power Efficient Gathering in Sensor
Information System)
• Improvement over LEACH
• Chain based protocol:
• Chain of nodes: shape a way to BS.
• Diminishes the power required to transmit Info/round
consistently.
• Assumptions:
1. Every sensor node can directly talk to BS.
2. All nodes keep up a complete database about the location of every
other node in system.
3. All sensor nodes have same level of energy & are likely to die at same
time.
Node
Nearest
Neighbours
Signal Quality
Base Station
Alternate Speaking
TEEN PROTOCOL
• Hierarchical Clustering
• Responsive system
• Cluster Formation & Data Transfer: LEACH
• Added Traits :
A. Hard Threshold (HT)
B. Soft Threshold (ST)
Extreme
&
Sudden
changes
environ
ment
(TEEN)
Node
Node
Node
Node
Utilization of ST & HT
Decrease the no. of
Transmissions
Diminishes Energy
Dissipation
Suited for time critical
data sensing
applications
Sensed value
> Hard
Threshold
Present Value – SV
> Soft Threshold
SV: Inner Variable
(Sensed Value)
NodeSwitch on
Transmitt
er
Ready
data
Send
Data
THANK YOU
!!!

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Energy Efficient Clustering: Wireless Sensor Network

  • 1. ENERGY EFFICIENT CLUSTERING ALGORITHMS FOR WIRELESS SENSOR NODES Shivang Rana
  • 2. INTRODUCTION TO CLUSTERING • Clusters: Disjoint Sensor nodes in non-overlapping subsets. • Clustering: Using Clusters, to perform energy optimization & support scalability. • Determines the set of nodes that provide backbone to connect network to base stationHierarchical Model Member Nodes: Data sensing transmitting to Cluster Head Cluster Head: Data Aggregation transmitting to Base StationM C M M M M M M Cluster Head can use single hop to relay data to other heads Need of Re-Clustering : Load Balancing Position of Cluster-Head: key to Energy Efficient Multi-hopping Routing: Inner Cluster-Head
  • 3. CLUSTERING OBJECTIVES: • Load Balancing: -Equal sized Clusters -No Cluster head gets exhausted faster. -Identical no. of Sensor Node in each Cluster • Fault Tolerance: if Cluster head is damaged -Re-Clustering -Using Backup-Cluster head (Assigned) -Using Rotation Strategy • Lesser Energy Consumption: -Data Aggregation -Inner- Cluster & Intra-Cluster Communication : lessens longer transmission losses -Cluster Head: Only Data communication • Path minimization Energy Optimization AIM
  • 4. CLUSTERING OBJECTIVES: • Improved Connectivity & Lesser Delay: -Directly connecting each Cluster Head with Base Station can lead to limited & restricted length of communication. -Inter cluster head communication or Long range communication abilities. • Latency Reduction: -Data collisions avoiding: Only Cluster Head perform data transmission -Data broadcast: Flooding in Flat routing Scheme: Hop by Hop • Least Cluster Count: -Cluster Head: Resource-rich -Try to minimize: Cause CH more susceptible & precious than other SNs. • Maximize the Network Lifetime: Increasing Life-Span of Cluster
  • 5. CLUSTERING OBJECTIVES: • Data Aggregation: ( Clustering head) -To eradicate the redundant communication & provide the merged data to BS -CHs shaped as tree structure to broadcast aggregated data by multi- hopping • More Robustness: -More handier to control network topology changes: Cause it happens in one cluster only & the whole full network remains strong only • Energy Hole Avoidance: -Each node msg: Self generated & relayed traffic -Sensor nodes closer to BS, are needed to broadcast more traffic towards BS -This creates an energy hole around BS, cause nearby nodes exhaust energy faster • Collision Avoidance: -Two modes known Intra-Cluster & Inter-Cluster.
  • 6. CLUSTER BASED ROUTING PROTOCOLS • Hierarchical Routing Protocol : -Minimize energy utilization during data gathering & disseminating. -Node : Great processing power  Cluster Head -CH : totals the data sent by powered sensor nodes
  • 7. LEACH (Low Energy Adaptive Clustering Hierarchy) PEGASIS (Power-efficient gathering sensor information system) TEEN (Threshold Sensitive Energy Efficient Sensor Network Scheme) APTEEN (Adaptive Periodic Threshold-Sensitive Energy Efficient) EEHC HEED (Hybrid, Energy-Efficient & Distributed) UCS (Unequal Clustering Size) FBR (Flow Balanced Routing) EECS (Energy Efficient Clustering Scheme) PEACH (Power Efficient & Adaptive Clustering Hierarchy) TTCRP (Two Tier Cluster Based Routing Protocol) DAIC (Distance Aware Intelligent Clustering)
  • 8. LEACH (Low Energy Adaptive Clustering Hierarchy) • Known & Elegant Clustering Algorithm : by selecting CHs in rounds • Rotation of Group Heads among the Cluster • Balanced Energy Utilization  Extended Lifetime • Each Round has two stages: -Set Up Stage : Election of CH -Steady Stage : Work done by elected CH • Structure Nodes based on : Signal Quality -Local Cluster Heads : Routers to the SINK
  • 9. LEACH (Low Energy Adaptive Clustering Hierarchy)
  • 10. • Steady State: • To minimize Overhead: Time-Frame Steady State > Setup State • LEACH: Self Organization Technique  Optimizes WSN communication • Mobility is supported • A choice of Favourable cluster heads at the current round Unfavourable cluster-heads determination in the later round. •Sensing •Transmitting data Node •Data Aggregation •Sending Data Cluster-Head •Acquiring Data •Indicate or even take control steps Base Station ISSUE
  • 11. • Better Solution : Updating Threshold Value By incorporating a factor that raises the threshold for any node that has not been a cluster head for a certain number of rounds. • Thus, possibility of this node turning into a cluster head expands due to the higher threshold.
  • 12. PEGASIS (Power Efficient Gathering in Sensor Information System) • Improvement over LEACH • Chain based protocol: • Chain of nodes: shape a way to BS. • Diminishes the power required to transmit Info/round consistently. • Assumptions: 1. Every sensor node can directly talk to BS. 2. All nodes keep up a complete database about the location of every other node in system. 3. All sensor nodes have same level of energy & are likely to die at same time. Node Nearest Neighbours Signal Quality Base Station Alternate Speaking
  • 13. TEEN PROTOCOL • Hierarchical Clustering • Responsive system • Cluster Formation & Data Transfer: LEACH • Added Traits : A. Hard Threshold (HT) B. Soft Threshold (ST) Extreme & Sudden changes environ ment (TEEN) Node Node Node Node Utilization of ST & HT Decrease the no. of Transmissions Diminishes Energy Dissipation Suited for time critical data sensing applications
  • 14. Sensed value > Hard Threshold Present Value – SV > Soft Threshold SV: Inner Variable (Sensed Value) NodeSwitch on Transmitt er Ready data Send Data