under water sensor network energy based

Download UNDER WATER SENSOR NETWORK ENERGY BASED

Post on 07-May-2015

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Seminar on underwater sensor network in which we are focusing on energy conservation or how to regain the energy in the sensor from tidal energy this is generating the new concept in this field

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  • 1.WIRELESS SENSOR NETWORK Sensor network is highly distributed network of wireless nodes in large number to monitor the environment. Each sensor node have it own limited sensing region, energy and power. Few parameter on basis it works like: Temperature Pressure Relatively Humidity. Contd.

2. WIRELESS SENSOR NETWORK Each node of sensor network consist of three sub system: The Sensing Sub-System. The Processing Sub-System. The Communication Sub-System. Sensor network consist of different types of sensor like seismic, thermal, visual and infrared, which monitored various conditions. 3. WSN DESIGN FACTORS Fault Tolerance Scalability Production Costs Hardware Constraints Sensor Network Topology Environment Transmission Media Power ConsumptionContd.. 4. WSN DESIGN FACTORS FAULT TOLERANCE Each Nodes are prone to unexpected failure (more than other network) Fault tolerance is the ability to sustain sensor network functionalities without any interruption due to sensor node failures. 5. WSN DESIGN FACTORS SCALABILITY Size: Number of node (100 ~1000) Density : (R)=(N R2)/A Protocol should be able to scale to such high degree. take advantage of the high density of such networks. 6. WSN DESIGN FACTORS PRODUCTION COSTS The cost of a single node must be low given the amount of functionalities Much less than $1 7. WSN DESIGN FACTORS HARDWARE CONSTRAINTS All these units combined together must Extremely low power Extremely small volume 8. WSN DESIGN FACTORS TOPOLOGY Must be maintained specially in very high densities Pre-deployment and deployment phase Post-deployment phase Re-deployment of additional nodes phase 9. WSN DESIGN FACTORS ENVIRONMENT May be inaccessible either because of hostile environment or because they are embedded in a structure Impact of environment condition Temperature Humidity Movement Underwater Underground Contd.. 10. WSN DESIGN FACTORS ENVIRONMENT Bottom of an ocean Surface of an ocean during a tornado Biologically or chemically contaminated field Battlefield beyond the enemy lines Home or a large building Animals Fast moving vehicles 11. WSN DESIGN FACTORS TRANSMISSION MEDIA RF Infrared Optical Acoustic 12. TYPES OF WSN Depending on the environment1. Terrestrial WSN Ad Hoc (unstructured) Preplanned (structured)2. Underground WSN Preplanned more expensive equipment, deployment, maintenance3. Underwater WSN fewer sensor nodes( sparse deployment) more expensive than terrestrial acoustic wave communication Limited bandwidth long propagation delay signal fading 13. Why Underwater? The Earth is a water planet About 2/3 of the Earth covered by oceans Largely unexplored, huge amount resources to discover Many potential applications Long-term aquatic monitoring Oceanography, seismic predictions, pollution detection, oil/gas field monitoring Short-term aquatic exploration Underwater natural resource discovery, antisubmarine mission, loss treasure discovery 14. UNDER WATER SENSOR NETWORK Wireless information transmission through the ocean is one of the enabling technologies for the development of future ocean-observation systems and sensor networks. Underwater wireless sensing systems are envisioned for stand-alone applications and control of autonomous underwater vehicles (AUVs), and another is submersibles, also known as remotely operated vehicles (ROVs). Contd.. 15. UNDER WATER SENSOR NETWORK Among the first underwater acoustic systems was the submarine communication system developed in the USA around the end of the Second World War. 16. 2-TIER ARCHITECTURE 17. HAVE A LOOK !!!1 2 34 5 6A small chip holding all the components. Terminal block for solar panel or external 12V supply Molex connector for battery (paralleled with connector 1) Debugging interface can be used to monitor phone communications using a pc serial port ICD2 interface for programming the PIC Molex connector to mobile phone Molex connector to underwater sensor 18. Some Networked Sensor Node LWIM IIIAWAIRS IUCLA, 1996UCLA/RSC 1998Geophone, RFMGeophone, DS/SSradio, PIC, starRadio, strongARM,networkMulti-hop networksUCB Mote, 2000 4 Mhz, 4K Ram 512K EEProm, 128K code, CSMA half-duplex RFM radioWINS NG 2.0 Sensoria, 2001 Node development platform; multisensor, dual radio, Linux on SH4, Preprocessor, GPSProcessor I-19 19. WORKING OF UWSN 20. SOLUTION FOR ENERGY LOSS What is the Solution....? Hardware SolutionSoftware SolutionEnergy Efficient Algorithm or Protocol 21. Comparison of Energy Sources Power (Energy) Density Batteries (Zinc-Air) Batteries(Lithium ion)Source of Estimates31050 -1560 mWh/cm (1.4 V)Published data from manufacturers3300 mWh/cm (3 - 4 V)Published data from manufacturers215 mW/cm - direct sun Solar (Outdoors)20.15mW/cm - cloudy day.Published data and testing..006 mW/cm2 - my desk Solar (Indoor) Vibrations20.57 mW/cm - 12 in. under a 60W bulb 30.001 - 0.1 mW/cmTesting Simulations and Testing23E-6 mW/cm at 75 Db sound level Acoustic Noise Passive Human Powered9.6E-4 mW/cm2 at 100 Db sound level 1.8 mW (Shoe inserts >> 1 cm )Published Study.Thermal Conversion0.0018 mW - 10 deg. C gradientPublished Study.2Direct Calculations from Acoustic Theory380 mW/cm3Nuclear Reaction1E6 mWh/cm 3 300 - 500 mW/cmFuel Cells~4000 mWh/cm3Published Data. Published Data.With aggressive energy management, ENS might live off the environment. I-22 22. FUTURE SCOPE Reduce Maintenance Hardware Size Costing Increase System Life Gather more Information Future Predictions