Pub Date : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670602
L. Sharma, S. Dandapat, A. Mahanta
In this work, a novel denoising algorithm based on relative energies of Wavelet subbands and estimated noise variance is proposed for Electrocardiogram (ECG) signal. The proposed algorithm is based on Relative Energy Denoising (RED) factor which is a function of Energy Contribution Efficiency (ECE), Details Energy Contribution Efficiency (DECE) and the estimated noise variance of Wavelet subbands. The algorithm is tested with PTB Diagnostic ECG Database and CSE Multilead Measurement Library. Wavelet filtered signal fidelity is evaluated using Percentage Root Mean Square Difference (PRD), Wavelet Weighted Percentage Root Mean Square Difference (WWPRD) and Wavelet Energy Based Diagnostic Distortion (WEDD) Measure. The results are compared qualitatively and quantitatively with few existing gold standard thresholding methods. The proposed denoising method shows PRD, WWPRD and WEDD values as 5.0966, 14.8554 and 1.0677 respectively.
{"title":"Multiscale wavelet energies and Relative Energy based Denoising of ECG signal","authors":"L. Sharma, S. Dandapat, A. Mahanta","doi":"10.1109/ICCCCT.2010.5670602","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670602","url":null,"abstract":"In this work, a novel denoising algorithm based on relative energies of Wavelet subbands and estimated noise variance is proposed for Electrocardiogram (ECG) signal. The proposed algorithm is based on Relative Energy Denoising (RED) factor which is a function of Energy Contribution Efficiency (ECE), Details Energy Contribution Efficiency (DECE) and the estimated noise variance of Wavelet subbands. The algorithm is tested with PTB Diagnostic ECG Database and CSE Multilead Measurement Library. Wavelet filtered signal fidelity is evaluated using Percentage Root Mean Square Difference (PRD), Wavelet Weighted Percentage Root Mean Square Difference (WWPRD) and Wavelet Energy Based Diagnostic Distortion (WEDD) Measure. The results are compared qualitatively and quantitatively with few existing gold standard thresholding methods. The proposed denoising method shows PRD, WWPRD and WEDD values as 5.0966, 14.8554 and 1.0677 respectively.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116911873","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670782
R. Dhaya, V. Sadasivam, R. Kanthavel
Wireless communication devices are widely subjected to intruder attacks and in the existing security system, the algorithm consists of a ranging phase that uses the received signal strength to estimate a network radio map and a localization phase which uses a genetic algorithm to obtain the most likely position of the intruder node within the map using the genetic algorithm which is not time consuming. This paper proposes an intrusion detection system with the proposed LERSS algorithm that effectively calculates the location of the intruder when experimented using tree topology. Additionally, the algorithm has better accuracy, and is capable of locating the intruder both within the same system as well as from outside the system. The random population generation and line of sight problems are overcome by this algorithm. To calculate the distance that enables to locate the position of the intruder accurately thereby providing an intelligent security system.
{"title":"Design of an intelligent wireless Scatternet Sensor network with location estimation","authors":"R. Dhaya, V. Sadasivam, R. Kanthavel","doi":"10.1109/ICCCCT.2010.5670782","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670782","url":null,"abstract":"Wireless communication devices are widely subjected to intruder attacks and in the existing security system, the algorithm consists of a ranging phase that uses the received signal strength to estimate a network radio map and a localization phase which uses a genetic algorithm to obtain the most likely position of the intruder node within the map using the genetic algorithm which is not time consuming. This paper proposes an intrusion detection system with the proposed LERSS algorithm that effectively calculates the location of the intruder when experimented using tree topology. Additionally, the algorithm has better accuracy, and is capable of locating the intruder both within the same system as well as from outside the system. The random population generation and line of sight problems are overcome by this algorithm. To calculate the distance that enables to locate the position of the intruder accurately thereby providing an intelligent security system.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115575976","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670769
V. Radha, C. Vimala, M. Krishnaveni
In the emerging trend of speech technologies, speech/non-speech detection is an unsolved problem, which affects numerous speech related applications. Especially in robust speech recognition, there is always a need for a noise reduction scheme working in combination with a precise Voice Activity Detector (VAD). The approach in this paper is based on filtering Tamil speech signal, which is fed as an input to avoid high-energy noisy component and then to determine the speech/non speech in a given signal. Henceforth this research proposes an improved VAD for Automatic Tamil Speech Recognition System (ATSRS). Four types of Infinite Impulse Response (IIR) filters and three VAD techniques are used for the above-mentioned work. These techniques are compared and the best combination of filter with VAD is proposed for ATSRS. By experimental results the proposed method, which is the combination of elliptic Filter with VAD based on sohn's method, which gives better results more effectively. The performance evaluation is done with the speech quality measures like MSE and PSNR.
{"title":"An efficient Voice Activity Detection method for Automatic Tamil Speech Recognition System using VADSOHN algorithm","authors":"V. Radha, C. Vimala, M. Krishnaveni","doi":"10.1109/ICCCCT.2010.5670769","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670769","url":null,"abstract":"In the emerging trend of speech technologies, speech/non-speech detection is an unsolved problem, which affects numerous speech related applications. Especially in robust speech recognition, there is always a need for a noise reduction scheme working in combination with a precise Voice Activity Detector (VAD). The approach in this paper is based on filtering Tamil speech signal, which is fed as an input to avoid high-energy noisy component and then to determine the speech/non speech in a given signal. Henceforth this research proposes an improved VAD for Automatic Tamil Speech Recognition System (ATSRS). Four types of Infinite Impulse Response (IIR) filters and three VAD techniques are used for the above-mentioned work. These techniques are compared and the best combination of filter with VAD is proposed for ATSRS. By experimental results the proposed method, which is the combination of elliptic Filter with VAD based on sohn's method, which gives better results more effectively. The performance evaluation is done with the speech quality measures like MSE and PSNR.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634677","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670787
C. Subba Rao, SUDHAKAR ALAPATI
The biconical dipole antenna is frequency independent antenna. A dipole antenna is a narrowband and frequency dependent. In this paper a linear array of five biconical antennas with cone angle 30° is modeled in WIPL-D software and analyzed. Radiation pattern, gain, impedance and S- parameter plots of the array are analyzed and presented for 1–5 GHz frequency range. Mathematical equations for the parameters of the array are developed. Values for the parameters of the array are computed.
{"title":"Analysis of linear biconical antenna array","authors":"C. Subba Rao, SUDHAKAR ALAPATI","doi":"10.1109/ICCCCT.2010.5670787","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670787","url":null,"abstract":"The biconical dipole antenna is frequency independent antenna. A dipole antenna is a narrowband and frequency dependent. In this paper a linear array of five biconical antennas with cone angle 30° is modeled in WIPL-D software and analyzed. Radiation pattern, gain, impedance and S- parameter plots of the array are analyzed and presented for 1–5 GHz frequency range. Mathematical equations for the parameters of the array are developed. Values for the parameters of the array are computed.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114780433","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670749
R. Pandi Selvam, V. Palanisamy
Mobile ad hoc networks are becoming an important concept of modern communication technologies and services. It provides some advantages to this communication world such as self-organizing and decentralization. In this paper, we are going to design a cluster-based multi source multicast routing protocol with new cluster head election, path construction and maintenance techniques. The main objective of this work to compute the maximum performance of proposed routing protocol in various environments, and also it has been compared with On-Demand Multicast Routing Protocol (ODMRP) to prove the better performance of delivery ratio, control overhead and forwarding efficiency.
{"title":"An efficient cluster-based multi-source Multicast Routing Protocol in mobile ad hoc networks","authors":"R. Pandi Selvam, V. Palanisamy","doi":"10.1109/ICCCCT.2010.5670749","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670749","url":null,"abstract":"Mobile ad hoc networks are becoming an important concept of modern communication technologies and services. It provides some advantages to this communication world such as self-organizing and decentralization. In this paper, we are going to design a cluster-based multi source multicast routing protocol with new cluster head election, path construction and maintenance techniques. The main objective of this work to compute the maximum performance of proposed routing protocol in various environments, and also it has been compared with On-Demand Multicast Routing Protocol (ODMRP) to prove the better performance of delivery ratio, control overhead and forwarding efficiency.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082601","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670723
R. Hamed
This paper describes the problem of inferring the complex causal relationships among genes from microarray experimental data based on a fuzzy Petri net (FPN). The method derives information on the gene interactions in a highly interpretable form (fuzzy rules) and takes into account dynamical aspects of genes regulation. The approach of the fuzzification of the Petri net is proposed. A token in the FPN is described as a membership function of a linguistic term. A transition, specified as a production rule, can be fired if the conditions satisfied. Additionally, a fuzzy Petri net is used with a recurrent neuro-fuzzy network for the modeling. A case study is used to illustrate the approach. For evaluation, the proposed technique has been tested using real expression data and experimental results show that the use of fuzzy Petri net based technique in gene expression data analysis can be quite effective.
{"title":"Inferring gene interactions from microarray gene expression data using fuzzy Petri net","authors":"R. Hamed","doi":"10.1109/ICCCCT.2010.5670723","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670723","url":null,"abstract":"This paper describes the problem of inferring the complex causal relationships among genes from microarray experimental data based on a fuzzy Petri net (FPN). The method derives information on the gene interactions in a highly interpretable form (fuzzy rules) and takes into account dynamical aspects of genes regulation. The approach of the fuzzification of the Petri net is proposed. A token in the FPN is described as a membership function of a linguistic term. A transition, specified as a production rule, can be fired if the conditions satisfied. Additionally, a fuzzy Petri net is used with a recurrent neuro-fuzzy network for the modeling. A case study is used to illustrate the approach. For evaluation, the proposed technique has been tested using real expression data and experimental results show that the use of fuzzy Petri net based technique in gene expression data analysis can be quite effective.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124804013","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670768
K. Venkatalakshmi, S. Shalinie
Particle Swarm Optimization (PSO) modified to solve image processing problem with reference to enhancement technique is proposed in this paper. The enhancement process is an optimization problem with several constraints. The objective of the proposed PSO is to maximize an objective fitness criterion in order to improve the contrast and detail in an image by adapting the parameters of a novel extension to a local enhancement technique. The feasibility of the proposed method is demonstrated and compared with the standard versions of the PSO based image enhancement technique presented in the literature. The obtained results indicate that the proposed PSO yields better results in terms of the maximization of the number of pixels in the edges and the computational time.
{"title":"A customized Particle Swarm Optimization algorithm for image enhancement","authors":"K. Venkatalakshmi, S. Shalinie","doi":"10.1109/ICCCCT.2010.5670768","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670768","url":null,"abstract":"Particle Swarm Optimization (PSO) modified to solve image processing problem with reference to enhancement technique is proposed in this paper. The enhancement process is an optimization problem with several constraints. The objective of the proposed PSO is to maximize an objective fitness criterion in order to improve the contrast and detail in an image by adapting the parameters of a novel extension to a local enhancement technique. The feasibility of the proposed method is demonstrated and compared with the standard versions of the PSO based image enhancement technique presented in the literature. The obtained results indicate that the proposed PSO yields better results in terms of the maximization of the number of pixels in the edges and the computational time.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427206","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670606
S. Mohamed Yacin, M. Manivannan, V. Srinivasa Chakravarthy
In this article we investigate the presence of gastric motility (GM) oscillation in the lower frequency range of photoplethysmography (PPG) signal. The objective of this article is to analyze the lower frequency oscillations of PPG signal using the novel autoregressive (AR) model and studying the presence of gastric motility (GM) rhythm in finger PPG. We acquired finger PPG and GM (measured using Electrogastrogram, EGG) signals at the sampling rate of 100 Hz simultaneously from 10 healthy subjects for 30 minutes duration in fasting and postprandial states. A lower frequency oscillation (≈ 0.05 Hz) called slow wave was extracted from PPG signal which looks similar to the slow wave of GM in both shape and frequency in the range (0 – 0.1953) Hz using discrete wavelet transform (DWT). In a previous study, we demonstrated that there is a good cross-correlation exists between slow waves on both PPG and EGG signals [Annals of Biomedical Engg. DOI: 10.1007/s10439-010-0113-4]. Here in this study, power spectral density (PSD) of PPG and EGG slow waves were estimated using AR spectral estimation method. Dominant frequencies of PPG and EGG slow wave were estimated and the results imply that finger PPG signal reveals GM related information.
{"title":"Measurement of gastric oscillations from finger photoplethysmographic signal using autoregressive model","authors":"S. Mohamed Yacin, M. Manivannan, V. Srinivasa Chakravarthy","doi":"10.1109/ICCCCT.2010.5670606","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670606","url":null,"abstract":"In this article we investigate the presence of gastric motility (GM) oscillation in the lower frequency range of photoplethysmography (PPG) signal. The objective of this article is to analyze the lower frequency oscillations of PPG signal using the novel autoregressive (AR) model and studying the presence of gastric motility (GM) rhythm in finger PPG. We acquired finger PPG and GM (measured using Electrogastrogram, EGG) signals at the sampling rate of 100 Hz simultaneously from 10 healthy subjects for 30 minutes duration in fasting and postprandial states. A lower frequency oscillation (≈ 0.05 Hz) called slow wave was extracted from PPG signal which looks similar to the slow wave of GM in both shape and frequency in the range (0 – 0.1953) Hz using discrete wavelet transform (DWT). In a previous study, we demonstrated that there is a good cross-correlation exists between slow waves on both PPG and EGG signals [Annals of Biomedical Engg. DOI: 10.1007/s10439-010-0113-4]. Here in this study, power spectral density (PSD) of PPG and EGG slow waves were estimated using AR spectral estimation method. Dominant frequencies of PPG and EGG slow wave were estimated and the results imply that finger PPG signal reveals GM related information.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129691557","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670575
M. Kranthi Kumar Reddy, G. Sreenivasulu
This paper presents the use of fuzzy logic control (FLC) of a variable speed induction machine wind generation system. The generation system uses three fuzzy logic controllers (FLC's), first fuzzy logic controller tracks the generator speed with wind velocity to extract maximum power. Second fuzzy logic controller programs the machine flux for light load efficiency improvement. Third fuzzy logic controller provides robust speed control against wind vortex and turbine oscillatory torque. By selecting appropriate fuzzy rules are designed to tune the parameters of conventional PI controller, the performance of the wind generation system has improved significantly compare to conventional PI controller. The performance of the wind generation system evaluated through the toolbox simulink of matlab.
{"title":"Fuzzy logic control of variable speed induction machine wind generation system","authors":"M. Kranthi Kumar Reddy, G. Sreenivasulu","doi":"10.1109/ICCCCT.2010.5670575","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670575","url":null,"abstract":"This paper presents the use of fuzzy logic control (FLC) of a variable speed induction machine wind generation system. The generation system uses three fuzzy logic controllers (FLC's), first fuzzy logic controller tracks the generator speed with wind velocity to extract maximum power. Second fuzzy logic controller programs the machine flux for light load efficiency improvement. Third fuzzy logic controller provides robust speed control against wind vortex and turbine oscillatory torque. By selecting appropriate fuzzy rules are designed to tune the parameters of conventional PI controller, the performance of the wind generation system has improved significantly compare to conventional PI controller. The performance of the wind generation system evaluated through the toolbox simulink of matlab.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129479443","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670554
V. Prabhu, R. Ramachandran
The performance of Network-on-Chip largely depends on the underlying routing techniques, which have two constituencies: output selection and input selection. Previous research on routing techniques for Network on chip has focused on the improvement of output selection. Thispaper investigates the impact of input selection, and presents a novel contention-aware input selection technique fornetwork on chip that improves the routing efficiency. When there are contentions of multiple input channels competing for the same output channel, Contention-aware input selection decides which input channel obtains the access depending on the contention level of the upstreamswitches, which inturn removes possible network congestion. Simulation results with different synthetic and real-life traffic patterns show that, when combined with either deterministic or adaptive output selection, Contention-aware input selection achieves significant better performance than the traditional first-come-first-served input selection,with low hardware overhead.
{"title":"High performance in Network-on-Chip using efficient routing","authors":"V. Prabhu, R. Ramachandran","doi":"10.1109/ICCCCT.2010.5670554","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670554","url":null,"abstract":"The performance of Network-on-Chip largely depends on the underlying routing techniques, which have two constituencies: output selection and input selection. Previous research on routing techniques for Network on chip has focused on the improvement of output selection. Thispaper investigates the impact of input selection, and presents a novel contention-aware input selection technique fornetwork on chip that improves the routing efficiency. When there are contentions of multiple input channels competing for the same output channel, Contention-aware input selection decides which input channel obtains the access depending on the contention level of the upstreamswitches, which inturn removes possible network congestion. Simulation results with different synthetic and real-life traffic patterns show that, when combined with either deterministic or adaptive output selection, Contention-aware input selection achieves significant better performance than the traditional first-come-first-served input selection,with low hardware overhead.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133067753","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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