9
EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network 08/09/2022 ACM 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

EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

Embed Size (px)

Citation preview

Page 1: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 1

EENC: Energy Efficient Nested Clustering in Underwater Acoustic

Sensor Network

ACM SAC, Republic of Korea, March 2014

MoNeT Wireless & Mobile Internet Lab

School of Computer Science & Engineering

Kyungpook National University.

Syed Hassan AhmedProf Dongkyun Kim

Page 2: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 2

Problem DescriptionUnderwater 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.

ACM SAC, Republic of Korea, March 2014

Page 3: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 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.

ACM SAC, Republic of Korea, March 2014

Page 4: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 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)

ACM SAC, Republic of Korea, March 2014

Page 5: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

Proposed Scheme

Page 6: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

Proposed Scheme

Page 7: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

25 50 75 1000

200

400

600

800

1000

1200

1400

1600

1800EENC

LEACH-L

LEACH

Number of nodes

Num

ber

of r

ound

s

25 50 75 1000

200

400

600

800

1000

1200

1400

1600

LEACHLEACH-LEENC

Num

ber

of p

ack-

ets

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

Page 8: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 8

25 50 75 1000

500

1000

1500

2000

2500

3000

3500

4000LEACH

LEACH-L

EENC

Nu

mb

er

of

pack

ets

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.

ACM SAC, Republic of Korea, March 2014

Achievements:

1. We reduce energy consumption by nested clustering.

2. We reduce data redundancy while data transmission.

Page 9: EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network

04/15/2023 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

ACM SAC, Republic of Korea, March 2014