parthi ppt

8/7/2019 PARTHI PPT

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ENERGY EFFICIENT COLLABORATIVE

TARGET TRACKING USING INFORMATIONCONTROLLED TRANSMISSION POWERADJUSTMENT SCHEME

BY

PARTHIBAN R

8/7/2019 PARTHI PPT


ABSTRACT

For target tracking applications, wirelesssensor nodes provide accurate informationsince they can be deployed and operated

near the phenomenon. These sensing devices have the opportunity

of collaboration among themselves toimprove the target localization and trackingaccuracies.

An energy-efficient collaborative targettracking paradigm is developed for wirelesssensor networks (WSNs).

8/7/2019 PARTHI PPT


EXISTING SYSTEM Target tracking sensor networks monitor and track

the movement of a target object. Energymanagement in these sensor networks is crucial toprolong the network lifetime.

Protocol EST (energy saving schedule for targettracking sensor networks) that provides a dynamicsleep schedule for the radios such that maximumenergy is saved without affecting the sensors'activities.

When there is no target, the communication modulesof sensor nodes are put into sleep using a staticschedule, except the border nodes.

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Interior nodes do not perform thesensing activity in the surveillancestate.

If a target arrives, the sleep schedulefor the radios is changed dynamicallyin order to send the arrival messageto neighboring sensors. By receivingthe arrival message, the sleepingneighbor nodes .

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DISADVANTAGE

Total energy consumption is veryhigh.

Absence of a fixed infrastructure. Limited operational time.

Less accuracy for Target Tracking

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PROPOSE

DSYSTEM

An energy-efficient collaborative targettracking paradigm is developed for wirelesssensor networks (WSNs).

A mutual-information-based sensorselection (MISS) algorithm is adopted forparticipation in the fusion process.

MISS allows the sensor nodes with the

highest mutual information about the targetstate to transmit data so that the energyconsumption is reduced while the desiredtarget position estimation accuracy is met.

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In addition, a novel approach to energysavings in WSNs is devised in theinformation-controlled transmission power(ICTP) adjustment, where nodes with moreinformation use higher transmission powersthan those that are less informative toshare their target state information withthe neighboring nodes.

Simulations demonstrate the performancegains offered by MISS and ICTP in terms of power consumption and target localizationaccuracy.

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ADV

ANTAGE

MISS (Mutual Information Based SensorSelection) Algorithm is accurate andefficient target tracking model.

EFC Target Tracking is developed in WSN.

Data collected near the phenomenon aremore reliable than those obtained far fromit.

The technique is used in Data FusionArchitecture

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Emerging wireless sensortechnologies facilitate the tracking of targets just within the phenomenon.Small-sized, battery-operated,wireless communicating.

Minimizing the total energyconsumption while obtaining stronglyconnected Networks.

High accuracy.

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Dataprocessing module

The process model for the targetmotion is defined.

The next state of the target is calculated

with the knowledge of its current stateand the target state transition matrix. The observation model is defined next

to simulate the sensor behavior whenthe target¶s existence is known.

It determines the observable state of the target by the sensor given thetarget¶s real state.

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Information controlled module

The ICTP adjustment scheme as the energy-savingstrategy, in addition to the MISS algorithm.

The block diagram representation of the sensor node whosetask is distributed target tracking with MISS , Sensoryobservation is transferred to the information extractor

module to retrieve the information state and theinformation matrix denomination values from the receivedobservation , which are then passed to the local informationfilter module where local target tracking takes placeaccording to the operations .

The target state belief obtained from the local informationfilter is handed over to the collaboration logic and the

network information filter modules. Using the mutual information measure , the collaboration

logic decides if the sensor node is going to share thecurrent target observation with the network or not.

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ransm ss on power a us menmodule

The ICTP scheme is embodied in the power adjustmentlogic module in which a node consults the mutualinformation list index of the sensor node and the presetpower adjustment pattern, and

subsequently, decides on the transmission power for

communicating its information state and information matrixdenominations to the network.

With the ICTP scheme, we aim to decrease the energyexpenditure of each sensor node by regulating itscommunication transmission power according to itsinformation content.

The higher the mutual information a sensor node has aboutthe target state, the more the communication transmissionpower it uses.

Low-power transmission of a sensor node having lowinformation assists the no detecting sensors to update theirbelief about the target state.

parthi ppt

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