Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528606
P. Rajeswari, N. Kumaran, C. A. Kumar
We review the basic concepts of Brillouin Scattering in an optical fiber, and its application in distributed sensing of temperature and strain. We show the simulation results which will provide a basic understanding of Stimulated Brillouin scattering and stimulated Brillouin amplification in an optical fiber. We further review the different configurations in which Brillouin scattering could be used for physical parameter sensing. We simulate the characteristics of Brillouin amplification process in a standard single mode fiber in the continuous and pulsed mode. These results would help in further developing a foolproof method for the measurement of temperature/strain.
{"title":"Distributed sensing of temperature using Stimulated Brillouin scattering","authors":"P. Rajeswari, N. Kumaran, C. A. Kumar","doi":"10.1109/ICE-CCN.2013.6528606","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528606","url":null,"abstract":"We review the basic concepts of Brillouin Scattering in an optical fiber, and its application in distributed sensing of temperature and strain. We show the simulation results which will provide a basic understanding of Stimulated Brillouin scattering and stimulated Brillouin amplification in an optical fiber. We further review the different configurations in which Brillouin scattering could be used for physical parameter sensing. We simulate the characteristics of Brillouin amplification process in a standard single mode fiber in the continuous and pulsed mode. These results would help in further developing a foolproof method for the measurement of temperature/strain.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528504
N. Premsai, K. K. Nagarajan, R. Srinivasan
This work analyses the effects of the number of fins and fin structure on the device input impedance (both real part and imaginary part) of multifin double gate fin field effect transistors (DG-FinFET). In order to have fair comparison, when the number of fins increases, the fin height is reduced to have the same drive current (ION). The real part of the input impedance remains unchanged with increase in number of fins, whereas the imaginary part decreases with the number of fins. An empirical model is developed for imaginary part of input impedance in terms of number of fins. Simulation results obtained from TCAD simulator matches well with the model developed.
{"title":"Effect of number of fins on input impedance in MIGFET using TCAD simulations","authors":"N. Premsai, K. K. Nagarajan, R. Srinivasan","doi":"10.1109/ICE-CCN.2013.6528504","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528504","url":null,"abstract":"This work analyses the effects of the number of fins and fin structure on the device input impedance (both real part and imaginary part) of multifin double gate fin field effect transistors (DG-FinFET). In order to have fair comparison, when the number of fins increases, the fin height is reduced to have the same drive current (ION). The real part of the input impedance remains unchanged with increase in number of fins, whereas the imaginary part decreases with the number of fins. An empirical model is developed for imaginary part of input impedance in terms of number of fins. Simulation results obtained from TCAD simulator matches well with the model developed.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125222317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528604
Sudeep D. Thepade, S. Erandole
Image Compression plays more important role in reduction of size of graphic file without degrading image quality. Wavelet Transform & Hybrid Wavelet Transforms are proven to give better quality of compressed images. The paper attempts checking of effect of tiling on the performance of image compression methods using orthogonal transform their wavelet transform & hybrid wavelet transform. Experimentation is done on test bed of ten images of size 256 * 256 each. The results have shown that tiling improves the performance of image compression. The wavelet transform gives better quality of compression than orthogonal transform. Overall the hybrid wavelet transform gives better quality of compression when applied on 10 non-overlapping tiles of images.
{"title":"Effect of tiling in image compression using wavelet transform & hybrid wavelet transform for cosine & kekre transforms","authors":"Sudeep D. Thepade, S. Erandole","doi":"10.1109/ICE-CCN.2013.6528604","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528604","url":null,"abstract":"Image Compression plays more important role in reduction of size of graphic file without degrading image quality. Wavelet Transform & Hybrid Wavelet Transforms are proven to give better quality of compressed images. The paper attempts checking of effect of tiling on the performance of image compression methods using orthogonal transform their wavelet transform & hybrid wavelet transform. Experimentation is done on test bed of ten images of size 256 * 256 each. The results have shown that tiling improves the performance of image compression. The wavelet transform gives better quality of compression than orthogonal transform. Overall the hybrid wavelet transform gives better quality of compression when applied on 10 non-overlapping tiles of images.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528562
A. Hazra, D. Acharyya, P. Bhattacharyya
Nano TiO2 thin film was grown on high purity Ti foil by electrochemical anodization techniques using 1 (M) as H2SO4 electrolyte. Film was annealed at 6000C for 1 hour to prepare rutile crystalline TiO2. Au metal contact was used as a top electrode contact to fabricate Au/TiO2/Ti memory devices for RRAM application. XRD, SEM and optical studies of the the TiO2 thin film were carried out to investigate the structural, morphological and optical characteristics of the prepared TiO2 thin film respectively. Bipolar resistive switching characteristics was measured using five different Au/TiO2/Ti devices which showed very repeatable, reproducible and stable memory performance with very low set and reset voltage of +0.24 V and -0.25 V respectively without application of any electroforming voltage. Bipolar switching phenomenon was explained by Schottky emission theory as well as filamentary models.
{"title":"Electrochemically grown nono-structured TiO2 based low power resistive random access memory","authors":"A. Hazra, D. Acharyya, P. Bhattacharyya","doi":"10.1109/ICE-CCN.2013.6528562","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528562","url":null,"abstract":"Nano TiO2 thin film was grown on high purity Ti foil by electrochemical anodization techniques using 1 (M) as H2SO4 electrolyte. Film was annealed at 6000C for 1 hour to prepare rutile crystalline TiO2. Au metal contact was used as a top electrode contact to fabricate Au/TiO2/Ti memory devices for RRAM application. XRD, SEM and optical studies of the the TiO2 thin film were carried out to investigate the structural, morphological and optical characteristics of the prepared TiO2 thin film respectively. Bipolar resistive switching characteristics was measured using five different Au/TiO2/Ti devices which showed very repeatable, reproducible and stable memory performance with very low set and reset voltage of +0.24 V and -0.25 V respectively without application of any electroforming voltage. Bipolar switching phenomenon was explained by Schottky emission theory as well as filamentary models.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133268299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528601
A. Nadh, N. Praba
This project is for monitoring the speed and torque in induction motors in real time by employing ZigBee based wireless sensor network. An embedded system is used for acquiring electrical signals from the motors in a noninvasive manner. The processing for speed and torque estimation is done locally. Embedded system is used to control the speed of the motor. The values calculated by the embedded system are transmitted to a monitoring unit through ZigBee based wireless sensor network. The real time monitoring of various motors can be done at the base unit. Speed of deployment, maintenance, low cost, security, reliability and throughput are the main advantages of using ZigBee. From simulation, plot for output voltage, output current, speed and torque can be obtained by applying different load values.
{"title":"Automatic speed and torque monitoring in induction motors using ZigBee and SMS","authors":"A. Nadh, N. Praba","doi":"10.1109/ICE-CCN.2013.6528601","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528601","url":null,"abstract":"This project is for monitoring the speed and torque in induction motors in real time by employing ZigBee based wireless sensor network. An embedded system is used for acquiring electrical signals from the motors in a noninvasive manner. The processing for speed and torque estimation is done locally. Embedded system is used to control the speed of the motor. The values calculated by the embedded system are transmitted to a monitoring unit through ZigBee based wireless sensor network. The real time monitoring of various motors can be done at the base unit. Speed of deployment, maintenance, low cost, security, reliability and throughput are the main advantages of using ZigBee. From simulation, plot for output voltage, output current, speed and torque can be obtained by applying different load values.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132347123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528582
R. K. Mishra, R. Khalkho, B. Kumar, T. K. Dan
Model Predictive Control (MPC) is used mainly for specific handling of constraints. MPC is implemented mainly by microprocessors. So, before implementation it is converted to discrete time. This paper presents about the design of dynamic linear controller for a binary distillation column. The design is based on MPC, which is based on prediction of control variable. We have used Wood and Berry 2×2 function for the distillation column. Firstly, we have implemented an ideal MPC by taking unit step input. Secondly, we have implemented general MPC for binary distillation column by taking the unit step input with and without disturbance. We have analyzed the manipulated and controlled variables for the distillation column using MPC. We have also find how to remove the ringing effect in manipulated variables for MPC.
{"title":"Effect of tuning parameters of a model predictive binary distillation column","authors":"R. K. Mishra, R. Khalkho, B. Kumar, T. K. Dan","doi":"10.1109/ICE-CCN.2013.6528582","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528582","url":null,"abstract":"Model Predictive Control (MPC) is used mainly for specific handling of constraints. MPC is implemented mainly by microprocessors. So, before implementation it is converted to discrete time. This paper presents about the design of dynamic linear controller for a binary distillation column. The design is based on MPC, which is based on prediction of control variable. We have used Wood and Berry 2×2 function for the distillation column. Firstly, we have implemented an ideal MPC by taking unit step input. Secondly, we have implemented general MPC for binary distillation column by taking the unit step input with and without disturbance. We have analyzed the manipulated and controlled variables for the distillation column using MPC. We have also find how to remove the ringing effect in manipulated variables for MPC.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"18 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528570
Vrushali Raut, S. Ruikar
This paper presents the effect of noise reduction filter on computed tomography (CT) images. In CT examinations, a high radiation dose results in high-quality images, but unfortunately, as the radiation increases, the associated risk of cancer also increases. Especially in paediatric applications it is essential to maintain low radiation dose. Anisotropic diffusion is Selective and nonlinear filtering technique which filters an image within the object boundaries & not across the edge orientation. This technique is used to improve an image quality and allow the use of a low-dose CT protocol.
{"title":"Image quality improvement in computed tomography using anisotropic diffusion","authors":"Vrushali Raut, S. Ruikar","doi":"10.1109/ICE-CCN.2013.6528570","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528570","url":null,"abstract":"This paper presents the effect of noise reduction filter on computed tomography (CT) images. In CT examinations, a high radiation dose results in high-quality images, but unfortunately, as the radiation increases, the associated risk of cancer also increases. Especially in paediatric applications it is essential to maintain low radiation dose. Anisotropic diffusion is Selective and nonlinear filtering technique which filters an image within the object boundaries & not across the edge orientation. This technique is used to improve an image quality and allow the use of a low-dose CT protocol.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134491201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528498
R. Kottaimalai, M. Rajasekaran, V. Selvam, B. Kannapiran
Brain Computer Interface (BCI) is the method of communicating the human brain with an external device. People who are incapable to communicate conventionally due to spinal cord injury are in need of Brain Computer Interface. Brain Computer Interface uses the brain signals to take actions, control, actuate and communicate with the world directly using brain integration with peripheral devices and systems. Brain waves are in necessitating to eradicate noises and to extract the valuable features. Artificial Neural Network (ANN) is a functional pattern classification technique which is trained all the way through the error Back-Propagation algorithm. In this paper in order to classify the mental tasks, the brain signals are trained using neural network and also using Principal Component Analysis with Artificial Neural Network. Principal Component Analysis (PCA) is a dominant tool for analyzing data and finding patterns in it. In Principal Component Analysis, data compression is possible and it projects higher dimensional data to lower dimensional data. By using Principal Component Analysis with Neural Network, the redundant data in the dataset is eliminated first and the obtained data is trained using Neural Network. EEG data for five cognitive tasks from five subjects are taken from the Colorado University database. Pattern classification is applied for the data of all tasks of one subject using Neural Network and also using Principal Component Analysis with Neural Network. Finally it is observed that the correctly classified percentage of data is better in Principal Component Analysis with Neural Network compared to Neural Network alone.
{"title":"EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications","authors":"R. Kottaimalai, M. Rajasekaran, V. Selvam, B. Kannapiran","doi":"10.1109/ICE-CCN.2013.6528498","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528498","url":null,"abstract":"Brain Computer Interface (BCI) is the method of communicating the human brain with an external device. People who are incapable to communicate conventionally due to spinal cord injury are in need of Brain Computer Interface. Brain Computer Interface uses the brain signals to take actions, control, actuate and communicate with the world directly using brain integration with peripheral devices and systems. Brain waves are in necessitating to eradicate noises and to extract the valuable features. Artificial Neural Network (ANN) is a functional pattern classification technique which is trained all the way through the error Back-Propagation algorithm. In this paper in order to classify the mental tasks, the brain signals are trained using neural network and also using Principal Component Analysis with Artificial Neural Network. Principal Component Analysis (PCA) is a dominant tool for analyzing data and finding patterns in it. In Principal Component Analysis, data compression is possible and it projects higher dimensional data to lower dimensional data. By using Principal Component Analysis with Neural Network, the redundant data in the dataset is eliminated first and the obtained data is trained using Neural Network. EEG data for five cognitive tasks from five subjects are taken from the Colorado University database. Pattern classification is applied for the data of all tasks of one subject using Neural Network and also using Principal Component Analysis with Neural Network. Finally it is observed that the correctly classified percentage of data is better in Principal Component Analysis with Neural Network compared to Neural Network alone.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528485
J. Ajayan, T. Subash, T. Gnanasekaran, N. Kumar
The performance of 25nm Symmetric Extended Source/Drain Schottky Tunneling Transistor (ESD-ST-SOIFET) with different gate structures are investigated through a TCAD modeling study. It is shown that, the doped extension regions adjacent to the source/drain schottky barrier improves the drive current by shrinking the schottky barrier and also the simulation results shows that the increasing doping levels at the source/drain(S/D) extensions increases the leakage current. The device shows better short channel effects compared to other schottky barrier devices. The analysis also shows that, the best characteristics of the proposed device can be obtained only if using proper silicides at the S/D regions. For best performance platinum silicide can be used for p-type and Erbium silicide can be used for n-type devices.
{"title":"Study of 25nm Symmetric Extended Source/Drain Schottky Tunneling Transistors","authors":"J. Ajayan, T. Subash, T. Gnanasekaran, N. Kumar","doi":"10.1109/ICE-CCN.2013.6528485","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528485","url":null,"abstract":"The performance of 25nm Symmetric Extended Source/Drain Schottky Tunneling Transistor (ESD-ST-SOIFET) with different gate structures are investigated through a TCAD modeling study. It is shown that, the doped extension regions adjacent to the source/drain schottky barrier improves the drive current by shrinking the schottky barrier and also the simulation results shows that the increasing doping levels at the source/drain(S/D) extensions increases the leakage current. The device shows better short channel effects compared to other schottky barrier devices. The analysis also shows that, the best characteristics of the proposed device can be obtained only if using proper silicides at the S/D regions. For best performance platinum silicide can be used for p-type and Erbium silicide can be used for n-type devices.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128920155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-03-25DOI: 10.1109/ICE-CCN.2013.6528518
J. Jose, M. Princy
Energy efficient privacy preserving data aggregation is important in power constrained wireless sensor networks. Existing hop by hop encrypted privacy preserving data aggregation protocols does not provide efficient solutions for energy constrained and security required WSNs due to the overhead of performing power consuming decryption and encryption at the aggregator node for the data aggregation and the increased number of transmissions for achieving data privacy. The decryption of data at the aggregator node will increase the frequency of node compromise attack. Thereby aggregator node reveals large amounts of data to adversaries. The proposed privacy homomorphism based privacy preservation protocol achieves non delayed data aggregation by performing aggregation on encrypted data. Thereby decreases the node compromise attack frequency. So high chance to get accurate aggregated results at the sink with reduced communication and computation overhead. The PEPPDA technique is best suited for time critical, secure applications such as military application, since it achieves privacy, authenticity, accuracy, end to end confidentiality, data freshness and energy efficiency during data aggregation. Our main aim is to provide a secure data aggregation scheme which guarantees the privacy, authenticity and freshness of individual sensed data as well as the accuracy and confidentiality of the aggregated data without introducing a significant overhead on the battery limited sensors.
{"title":"PEPPDA: Power efficient privacy preserving data aggregation for wireless sensor networks","authors":"J. Jose, M. Princy","doi":"10.1109/ICE-CCN.2013.6528518","DOIUrl":"https://doi.org/10.1109/ICE-CCN.2013.6528518","url":null,"abstract":"Energy efficient privacy preserving data aggregation is important in power constrained wireless sensor networks. Existing hop by hop encrypted privacy preserving data aggregation protocols does not provide efficient solutions for energy constrained and security required WSNs due to the overhead of performing power consuming decryption and encryption at the aggregator node for the data aggregation and the increased number of transmissions for achieving data privacy. The decryption of data at the aggregator node will increase the frequency of node compromise attack. Thereby aggregator node reveals large amounts of data to adversaries. The proposed privacy homomorphism based privacy preservation protocol achieves non delayed data aggregation by performing aggregation on encrypted data. Thereby decreases the node compromise attack frequency. So high chance to get accurate aggregated results at the sink with reduced communication and computation overhead. The PEPPDA technique is best suited for time critical, secure applications such as military application, since it achieves privacy, authenticity, accuracy, end to end confidentiality, data freshness and energy efficiency during data aggregation. Our main aim is to provide a secure data aggregation scheme which guarantees the privacy, authenticity and freshness of individual sensed data as well as the accuracy and confidentiality of the aggregated data without introducing a significant overhead on the battery limited sensors.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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