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Sanjay K. Dhurandher, Mohammad S. Obaidat, Fellow of IEEE and Fellow of SCS, Siddharth Goel and Abhishek Gupta CAITFS, Division of Information Technology,

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Presentation on theme: "Sanjay K. Dhurandher, Mohammad S. Obaidat, Fellow of IEEE and Fellow of SCS, Siddharth Goel and Abhishek Gupta CAITFS, Division of Information Technology,"— Presentation transcript:

1 Sanjay K. Dhurandher, Mohammad S. Obaidat, Fellow of IEEE and Fellow of SCS, Siddharth Goel and Abhishek Gupta CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India Department of Computer Science & Software Engineering, Monmouth University, NJ, USA IEEE Globecom 2011 Optimizing Energy through Parabola Based Routing in Underwater Sensor Networks

2 Outline Introduction Parabola Based Routing Algorithm Simulation Analysis and Results Conclusions

3 Introduction Ocean researchers have already started with the tasks of follows : Ocean sampling Environmental monitoring Pollution monitoring Tactical surveillance Disaster prevention

4 Introduction It is necessary to transmit information in the water medium The existing terrestrial routing algorithm cannot work on underwater sensor networks Radio waves Higher attenuations Acoustic sound waves Large propagation delay Small bandwidth Poor link quality Large energy consumption

5 Goal Proposed an energy efficient routing protocol that overcomes all of those problems associated with underwater channels

6 Parabola Based Routing Algorithm Assumption High density scenario Sensor nodes and receiver nodes are fixed Each node is aware of its own coordinates

7 Parabola Based Routing Algorithm Description of PBR Algorithm 1. Sender node broadcast a HELLO packet 2. Relay node reply a LOC packet 3. Sender node maintains a table for all the nodes falling inside the region 4. Choosing the largest distance from the sender node as the next_node 5. Check the energy value whether less than the predefined threshold energy or not

8 Parabola Based Routing Algorithm (0,a) B A C D x=2 x=-2 y=4 E F H I G Sender Relay nodes Hello LOC Hello sender location, sender ID, packet ID LOC relay location, relay ID, energy value J K L M N Data ACK packet ID Hello LOC Hello

9 Parabola Based Routing Algorithm Relay Node ID XYd Energy value A-0.52.52.5435 B23.54.0351 C11.4126 D033.0010 E-1.566.1825 F77.0743 G188.068 H-388.5086 I1.56.56.6772 Sender(0,0) (0,a) B A C D x=2 x=-2 y=4 E F H I G Maintained by a node on receiving LOC packet

10 Simulation Analysis and Results Simulation Setup ScenariosStatic and mobile Grid topology900 m * 900 m N nodes81, 100, 169, 256, 289 Transmission power 3.0 dBm Packet generate time 480 ms Packets100 Packet length512 bytes Energy consumedTransmitting data, HELLO, LOC, ACK packets 1J Calculating distance, updating table 0.5 J

11 Simulation Analysis and Results Packet Delivery Ratio-Static Scenario

12 Simulation Analysis and Results Energy Consumption-Static Scenario

13 Simulation Analysis and Results Packet Delivery Ratio-Mobile Scenario

14 Simulation Analysis and Results Energy Consumption-Mobile Scenario

15 Simulation Analysis and Results Average Time-Mobile Scenario

16 Conclusions This paper proposed a new algorithm which uses the properties of a “Parabola” in order to transmit data packets from source to destination The simulation results show the superior quality of PBR than DSR in static as well as mobile scenarios

17 ~Thanks for your attention~


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