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AN ENERGY EFFICIENT SINK REPOSITIONING TECHNIQUE FOR DATA GATHERING IN WIRELESS SENSOR NETWORKS

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): PRERANA SHRIVASTAVA , S.B POKLE

Abstract: We have considered the problem of using static sink for data gathering purpose in an energy constrained multi hop wireless sensor networks. Sensing and relaying the collected data to the sink node using multi hop communication in an energy efficient manner is of prime importance. Optimizing sensor networks involves addressing a wide range of issues steaming from limited energy reserves, computation power, communication capabilities and self managing sensor nodes. In this paper we have investigated the problem of using static sink in case of the sensor networks which results in uneven energy expenditure and also the uneven sensing coverage over different parts of the network. We have used the concept of repositioning of the sink for enhancing the performance of the network in terms of energy which will also help in extending the lifetime of the network. For this we have used the repositioning algorithm which has been simulated in the NS-2.32 environment. Our simulation results show that

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-1008
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ROTOR SPEED ESTIMATION FOR VECTOR CONTROLLED INDUCTION MOTOR DRIVE USING MRAS

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): D. S. MORE , SHINDE S. N.

Abstract: The term sensorless vector control means vector control without any speed sensor. Sensorless vector control drives have main benefits over vector control drives as reliability and low cost. Speed of the motor can be estimated using Motor terminal voltages and currents. If we know the certain parameters of the induction motor, using these parameters and reference frame theory we can construct the mathematical model of motor. This model is used for speed estimation. In this paper speed of induction motor is estimated using model reference adaptive system and system is simulated using MATLAB. Simulation results of estimated speed is correct.

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-1017
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