EENC: Energy Efficient Nested Clustering in Underwater Acoustic Sensor Network
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The document proposes an Energy Efficient Nested Clustering (EENC) approach for underwater acoustic sensor networks to address issues like high energy consumption, propagation delay, and redundant data sensing. EENC divides the network area into virtual grids and selects cluster heads based on residual energy. It has three phases: initial grouping, cluster formation, and data transmission. Simulation results show EENC improves network lifetime and throughput ratio while reducing packet transmission ratio compared to LEACH and LEACH-L clustering protocols. Future work areas include optimizing node switching and testing EENC with different routing protocols.
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