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EENC: Energy Efficient Nested Clustering
in Underwater Acoustic Sensor Network
3/9/2015ACM SAC, Republic of Korea, March 2014 1
MoNeT Wireless & Mobile Internet Lab
School of Computer Science & Engineering
Kyungpook National University.
Syed Hassan Ahmed
Prof Dongkyun Kim
Problem Description
Underwater Sensor Networks (UASN) routing issues:
• High Propagation Delay.
• Higher Maintenance Cost.
• Energy Consumption of Nodes.
o Clusters.
• Redundant Data Sensing.
o Optimal Values
• Higher Bit Error Rate Because of Acoustic Channel.
3/9/2015 2ACM SAC, Republic of Korea, March 2014
Related Work
• Node Clustering for UASN have been exploited.
• LEACH: CH selected with optimal number and spent
more energy for data transmission.
(Data Aggregation)
• LEACH-L : CH is selected on basis of distance to the
sink thus minimizing probability of poor candidate
selection.
3/9/2015ACM SAC, Republic of Korea, March 2014 3
EENC
• Energy Efficient Nested Clustering.
• Idle/Awake Awareness
• Region division in small virtual grids.
• CHs are selected on basis of residual energy.
• Formation of small groups in close proximity.
• EENC has three phases
o Initial Grouping of Nodes (IGN)
o Cluster Formation Phase (CFP)
o Data Transmission Phase (DTP)
3/9/2015ACM SAC, Republic of Korea, March 2014 4
Proposed Scheme
Proposed Scheme
0
200
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25 50 75 100
EENC
LEACH-L
LEACH
Number of nodes
Numberofrounds
0
200
400
600
800
1000
1200
1400
1600
25 50 75 100
LEACH
LEACH-L
EENC
Numberofpackets
Number of Nodes
 Network Lifetime:
Last node Dead
 Throughput Ratio (TR):
No of packets send by any node towards the
sink – No of received packets at the sink.
ACM SAC, Republic of Korea, March 2014
0
500
1000
1500
2000
2500
3000
3500
4000
25 50 75 100
LEACH
LEACH-L
EENC
Numberofpackets
Number of Nodes
 Packet Transmission Ratio (PTR):
PTR means the number of redundant
packets sent to CH via Active Node + to
the sink via CH throughout the network
lifetime.
3/9/2015 8ACM SAC, Republic of Korea, March 2014
Achievements:
1. We reduce energy consumption by nested clustering.
2. We reduce data redundancy while data transmission.
Future work
• Optimal switching of the nodes.
• Testing EENC with DDD routing protocol.
• EENC compatibility with AUV Based schemes.
• Optimal no of Cluster Heads.
Thank You
Q/A Session
3/9/2015ACM SAC, Republic of Korea, March 2014 9

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EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

  • 1. EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network 3/9/2015ACM SAC, Republic of Korea, March 2014 1 MoNeT Wireless & Mobile Internet Lab School of Computer Science & Engineering Kyungpook National University. Syed Hassan Ahmed Prof Dongkyun Kim
  • 2. Problem Description Underwater Sensor Networks (UASN) routing issues: • High Propagation Delay. • Higher Maintenance Cost. • Energy Consumption of Nodes. o Clusters. • Redundant Data Sensing. o Optimal Values • Higher Bit Error Rate Because of Acoustic Channel. 3/9/2015 2ACM SAC, Republic of Korea, March 2014
  • 3. Related Work • Node Clustering for UASN have been exploited. • LEACH: CH selected with optimal number and spent more energy for data transmission. (Data Aggregation) • LEACH-L : CH is selected on basis of distance to the sink thus minimizing probability of poor candidate selection. 3/9/2015ACM SAC, Republic of Korea, March 2014 3
  • 4. EENC • Energy Efficient Nested Clustering. • Idle/Awake Awareness • Region division in small virtual grids. • CHs are selected on basis of residual energy. • Formation of small groups in close proximity. • EENC has three phases o Initial Grouping of Nodes (IGN) o Cluster Formation Phase (CFP) o Data Transmission Phase (DTP) 3/9/2015ACM SAC, Republic of Korea, March 2014 4
  • 7. 0 200 400 600 800 1000 1200 1400 1600 1800 25 50 75 100 EENC LEACH-L LEACH Number of nodes Numberofrounds 0 200 400 600 800 1000 1200 1400 1600 25 50 75 100 LEACH LEACH-L EENC Numberofpackets Number of Nodes  Network Lifetime: Last node Dead  Throughput Ratio (TR): No of packets send by any node towards the sink – No of received packets at the sink. ACM SAC, Republic of Korea, March 2014
  • 8. 0 500 1000 1500 2000 2500 3000 3500 4000 25 50 75 100 LEACH LEACH-L EENC Numberofpackets Number of Nodes  Packet Transmission Ratio (PTR): PTR means the number of redundant packets sent to CH via Active Node + to the sink via CH throughout the network lifetime. 3/9/2015 8ACM SAC, Republic of Korea, March 2014 Achievements: 1. We reduce energy consumption by nested clustering. 2. We reduce data redundancy while data transmission.
  • 9. Future work • Optimal switching of the nodes. • Testing EENC with DDD routing protocol. • EENC compatibility with AUV Based schemes. • Optimal no of Cluster Heads. Thank You Q/A Session 3/9/2015ACM SAC, Republic of Korea, March 2014 9