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.
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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)
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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