Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7918805
Arit Kumar Bishwas, Ashish Mani, V. Palade
In this paper, we have proposed a quantum approach for multiclass support vector machines to handle big data classification. To achieve this goal, we have also developed and implemented a quantum version of the one-against-all algorithm. The proposed approach demonstrates that the big data multiclass classification can be implemented with quantum multiclass support vector machine in logarithmic time complexity on a quantum computer, compared to the classical multiclass support vector machines that can be implemented with polynomial time complexity. Hence, our proposed approach exhibits an exponential speed up in time complexity for big data multiclass classification.
{"title":"Big data classification with quantum multiclass SVM and quantum one-against-all approach","authors":"Arit Kumar Bishwas, Ashish Mani, V. Palade","doi":"10.1109/IC3I.2016.7918805","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918805","url":null,"abstract":"In this paper, we have proposed a quantum approach for multiclass support vector machines to handle big data classification. To achieve this goal, we have also developed and implemented a quantum version of the one-against-all algorithm. The proposed approach demonstrates that the big data multiclass classification can be implemented with quantum multiclass support vector machine in logarithmic time complexity on a quantum computer, compared to the classical multiclass support vector machines that can be implemented with polynomial time complexity. Hence, our proposed approach exhibits an exponential speed up in time complexity for big data multiclass classification.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123265742","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7918058
Shalini Gupta, Mayank Rawat
Recommender system is a tool that provides suggestions to customers. Recommendations are provided for the products that a customer may like in future or that are close to the target customer. On an e-commerce website good recommendation plays an important role for the seller and the buyer. So far researchers have digged out many methodologies for recommendation that may use explicit ratings or implicit data. Keeping track of customers surfing behavior can also help in endorsing products to similar users. Finding preference levels of a product for a particular customer can provide accuracy in recommendation. In this survey, we review recent developments in recommender systems based on click stream data and discuss the major challenges faced. We compare and evaluate available algorithms and examine their roles in future developments. We will discuss the methodologies and techniques that the researchers have devised for e-commerce websites with their drawbacks and a relative comparison of their performance.
{"title":"Recommendations through click stream: Tracking the need, current work and future directions","authors":"Shalini Gupta, Mayank Rawat","doi":"10.1109/IC3I.2016.7918058","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918058","url":null,"abstract":"Recommender system is a tool that provides suggestions to customers. Recommendations are provided for the products that a customer may like in future or that are close to the target customer. On an e-commerce website good recommendation plays an important role for the seller and the buyer. So far researchers have digged out many methodologies for recommendation that may use explicit ratings or implicit data. Keeping track of customers surfing behavior can also help in endorsing products to similar users. Finding preference levels of a product for a particular customer can provide accuracy in recommendation. In this survey, we review recent developments in recommender systems based on click stream data and discuss the major challenges faced. We compare and evaluate available algorithms and examine their roles in future developments. We will discuss the methodologies and techniques that the researchers have devised for e-commerce websites with their drawbacks and a relative comparison of their performance.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717654","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7917974
K. Narendra, R. K. Swamy
This paper presents an alternate representation of phase information in speech signals using Hartley transform. Hartley Group Delay Function (HGDF) is computed on similar lines of Fourier Group delay function. Cepstral smoothing is applied so as to reduce the spiky nature of the group delay functions. The smoothened HGDF (SHGDF) is reported to have better resolution in group delay spectrum. A speaker verification system is designed as an application for the proposed signal representation. SHGDF is then presented as input to feed forward neural network. Performance curves using MFCCs, MODGFs and proposed SHGDF as features for the neural network are compared. It is found that the SHGDF functions provide better average performance for the speaker recognition system.
{"title":"Representation of speech signals using Hartley group delay function","authors":"K. Narendra, R. K. Swamy","doi":"10.1109/IC3I.2016.7917974","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917974","url":null,"abstract":"This paper presents an alternate representation of phase information in speech signals using Hartley transform. Hartley Group Delay Function (HGDF) is computed on similar lines of Fourier Group delay function. Cepstral smoothing is applied so as to reduce the spiky nature of the group delay functions. The smoothened HGDF (SHGDF) is reported to have better resolution in group delay spectrum. A speaker verification system is designed as an application for the proposed signal representation. SHGDF is then presented as input to feed forward neural network. Performance curves using MFCCs, MODGFs and proposed SHGDF as features for the neural network are compared. It is found that the SHGDF functions provide better average performance for the speaker recognition system.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126545322","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7918035
Prakash Ranjan, B. Raja, R. Priyadharshini, R. Balabantaray
This paper presents comparative experiment results of code mixed data with the normal text. We first identify the Languages present in social media text, in the case of code mixed data existing language detector fails to detect language at the word level because of the use of roman script to write their own language. So we bootstrap language identification step and we caluculate the Code Mixe Index to show the amount of code mix in the corpora. We use the RNNLM to create a language model of code mixed data as well as pen tree bank data. We use the model to evaluate the similarity of code mixed data and open tree bank data. Using Perplexity measure we show that the code mixed data of Indian social media very less similarity to the normal data.
{"title":"A comparative study on code-mixed data of Indian social media vs formal text","authors":"Prakash Ranjan, B. Raja, R. Priyadharshini, R. Balabantaray","doi":"10.1109/IC3I.2016.7918035","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918035","url":null,"abstract":"This paper presents comparative experiment results of code mixed data with the normal text. We first identify the Languages present in social media text, in the case of code mixed data existing language detector fails to detect language at the word level because of the use of roman script to write their own language. So we bootstrap language identification step and we caluculate the Code Mixe Index to show the amount of code mix in the corpora. We use the RNNLM to create a language model of code mixed data as well as pen tree bank data. We use the model to evaluate the similarity of code mixed data and open tree bank data. Using Perplexity measure we show that the code mixed data of Indian social media very less similarity to the normal data.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114415793","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7918802
V. Jain, P. Ranjan, M. Tripathy
Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to home-gateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.
{"title":"An analytical model to design and manage green access networks to CPE node","authors":"V. Jain, P. Ranjan, M. Tripathy","doi":"10.1109/IC3I.2016.7918802","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918802","url":null,"abstract":"Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to home-gateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962112","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7917969
R. P. Ambilwade, R. Manza
Nowadays, due to busy lifestyle of people, ignorance and tolerance of symptoms, slowly develops diabetes. It cause when body stops producing enough insulin which is essential to control the blood sugar. The amount of high sugar level affects vital organs of the body like kidney, heart, and brain. The diagnosis of diabetes typically confirmed on the basis of increased glucose level in the blood. Symptoms and risk factors also play a major role for diagnosis. Such kind of medical diagnosis problem can be solved by combining the fuzzy systems and neural network. This paper presents the novel approach for prognosis of type-2 diabetes & prediabetes using FIS and MLP. The FIS used here for predicting the initial risk of prediabetes and type-2 diabetes using blood tests, to measure the sugar/glucose levels in different situations like fasting, post meal and random glucose. The output of the FIS, related symptoms, and risk factors are used to train the perceptron network, which results in one of the class as non-diabetes, prediabetes and type-2 diabetes. The proposed model is trained and tested on 385 patient's data and gives 91% accuracy of classification, specificity about 94% and sensitivity 91%. This proposed system will helps the medical practitioner for diagnosis of diabetes.
{"title":"Prognosis of diabetes using fuzzy inference system and multilayer perceptron","authors":"R. P. Ambilwade, R. Manza","doi":"10.1109/IC3I.2016.7917969","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917969","url":null,"abstract":"Nowadays, due to busy lifestyle of people, ignorance and tolerance of symptoms, slowly develops diabetes. It cause when body stops producing enough insulin which is essential to control the blood sugar. The amount of high sugar level affects vital organs of the body like kidney, heart, and brain. The diagnosis of diabetes typically confirmed on the basis of increased glucose level in the blood. Symptoms and risk factors also play a major role for diagnosis. Such kind of medical diagnosis problem can be solved by combining the fuzzy systems and neural network. This paper presents the novel approach for prognosis of type-2 diabetes & prediabetes using FIS and MLP. The FIS used here for predicting the initial risk of prediabetes and type-2 diabetes using blood tests, to measure the sugar/glucose levels in different situations like fasting, post meal and random glucose. The output of the FIS, related symptoms, and risk factors are used to train the perceptron network, which results in one of the class as non-diabetes, prediabetes and type-2 diabetes. The proposed model is trained and tested on 385 patient's data and gives 91% accuracy of classification, specificity about 94% and sensitivity 91%. This proposed system will helps the medical practitioner for diagnosis of diabetes.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121141247","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7917945
S. Joshi, U. Kumari
Cloud computing is latest emerging technology for large scale distributed computing and parallel computing. Cloud computing gives large pool of shared resources, software packages, information, storage and many different applications as per user demands at any instance of time. Cloud computing is emerging quickly; a large number of users are attracted towards cloud services for more satisfaction. Balancing the load has become more interesting research area in this field. Better load balancing algorithm in cloud system increases the performance and resources utilization by dynamically distributing work load among various nodes in the system. This paper presents cloud computing, cloud computing architecture, virtualization, load balancing, challenges and various currently available load balancing algorithms.
{"title":"Load balancing in cloud computing: Challenges & issues","authors":"S. Joshi, U. Kumari","doi":"10.1109/IC3I.2016.7917945","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917945","url":null,"abstract":"Cloud computing is latest emerging technology for large scale distributed computing and parallel computing. Cloud computing gives large pool of shared resources, software packages, information, storage and many different applications as per user demands at any instance of time. Cloud computing is emerging quickly; a large number of users are attracted towards cloud services for more satisfaction. Balancing the load has become more interesting research area in this field. Better load balancing algorithm in cloud system increases the performance and resources utilization by dynamically distributing work load among various nodes in the system. This paper presents cloud computing, cloud computing architecture, virtualization, load balancing, challenges and various currently available load balancing algorithms.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116001766","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7918026
K. Babu, A. Roy, P. Prasad
Forest fires in Uttarakhand state have considerable economic, social and environmental impacts on humans and biodiversity. Forest fire danger indices are important tools for mitigating and suppressing forest fires, but, operational fire danger index system has not been developed for the India. In general, Fire danger indices have been developed based on the parameters which are associated for the cause of ignition, spreading of forest fires. These properties include forest fuel type, topographic conditions and moisture conditions. Vegetation and topographic conditions are static, i.e. they do not change frequently, whereas moisture conditions are dynamic. Dynamic properties such as air temperature, relative humidity, wind speed changes regularly in a day. In this study, Static Fire danger Index has been developed using MODIS Land cover type yearly L3 global 500 m SIN grid (MCD12Q1) and ASTER GDEM datasets. International Geosphere-Biosphere Programme (IGBP) land cover type has been generated from MCD12Q1, which has been used to compute the forest fuel type index based on historical fire data. Slope danger index, Aspect danger index, Elevation danger index and Terrain rugged Index has been computed from the ASTER GDEM datasets. Finally, Static Fire Danger Index has been developed by integrating the above mentioned indices. Estimated accuracy of static fire danger index was around 95%, i.e. developed static fire danger index was accurately model the fire danger over the study area.
北阿坎德邦的森林火灾对人类和生物多样性产生了相当大的经济、社会和环境影响。森林火险指数是缓解和扑灭森林火灾的重要工具，但印度尚未建立可操作的森林火险指数体系。一般来说，火灾危险指数是根据与森林火灾的着火原因、蔓延有关的参数制定的。这些特性包括森林燃料类型、地形条件和湿度条件。植被和地形条件是静态的，即它们不经常变化，而湿度条件是动态的。空气温度、相对湿度、风速等动态特性在一天中有规律地变化。本研究利用MODIS土地覆盖类型年度L3全球500 m SIN网格(MCD12Q1)和ASTER GDEM数据集建立了静态火灾危险指数。MCD12Q1生成了国际地圈-生物圈计划(IGBP)的土地覆盖类型，并用于计算基于历史火灾数据的森林燃料类型指数。利用ASTER GDEM数据，计算了坡度危险指数、坡向危险指数、高程危险指数和地形崎岖指数。最后，综合上述指标，建立了静态火灾危险指数。静态火灾危险指数的估计精度在95%左右，即所建立的静态火灾危险指数能够准确地模拟研究区域的火灾危险。
{"title":"Developing the static fire danger index using geospatial technology","authors":"K. Babu, A. Roy, P. Prasad","doi":"10.1109/IC3I.2016.7918026","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918026","url":null,"abstract":"Forest fires in Uttarakhand state have considerable economic, social and environmental impacts on humans and biodiversity. Forest fire danger indices are important tools for mitigating and suppressing forest fires, but, operational fire danger index system has not been developed for the India. In general, Fire danger indices have been developed based on the parameters which are associated for the cause of ignition, spreading of forest fires. These properties include forest fuel type, topographic conditions and moisture conditions. Vegetation and topographic conditions are static, i.e. they do not change frequently, whereas moisture conditions are dynamic. Dynamic properties such as air temperature, relative humidity, wind speed changes regularly in a day. In this study, Static Fire danger Index has been developed using MODIS Land cover type yearly L3 global 500 m SIN grid (MCD12Q1) and ASTER GDEM datasets. International Geosphere-Biosphere Programme (IGBP) land cover type has been generated from MCD12Q1, which has been used to compute the forest fuel type index based on historical fire data. Slope danger index, Aspect danger index, Elevation danger index and Terrain rugged Index has been computed from the ASTER GDEM datasets. Finally, Static Fire Danger Index has been developed by integrating the above mentioned indices. Estimated accuracy of static fire danger index was around 95%, i.e. developed static fire danger index was accurately model the fire danger over the study area.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385095","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7918799
H. K. Jnanamurthy, F. Henskens, David J. Paul
Nowadays, Model-Driven Architectures (MDAs) are gaining more popularity because they offer an increase in productivity by improving compatibility between systems (reuse of standardized models), simplifying the activity of design and supporting interaction between individuals and different development teams working on the system. Development of MDA software systems requires high integrity, with verification before deployment in critical applications. Verifying different properties of the system at the beginning of the development is highly desirable as the first line of defense against design faults. In this paper, we have modeled an Automated Air Traffic Control System (AATCS) using MDA and converted into the Process Meta Language (PROMELA) model, which is used by Simple Promela Interpreter (SPIN) model checker for verification. The entities in our model are Airplane, Ground Station, SWIM data and Data store. The communication between entities is modeled as transitions. The AATCS PROMELA model is checked for a state of consistency with its specifications to detect flaws using formal techniques to improve reliability and quality.
{"title":"Verification of interactive automated air traffic control system in a model driven approach","authors":"H. K. Jnanamurthy, F. Henskens, David J. Paul","doi":"10.1109/IC3I.2016.7918799","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918799","url":null,"abstract":"Nowadays, Model-Driven Architectures (MDAs) are gaining more popularity because they offer an increase in productivity by improving compatibility between systems (reuse of standardized models), simplifying the activity of design and supporting interaction between individuals and different development teams working on the system. Development of MDA software systems requires high integrity, with verification before deployment in critical applications. Verifying different properties of the system at the beginning of the development is highly desirable as the first line of defense against design faults. In this paper, we have modeled an Automated Air Traffic Control System (AATCS) using MDA and converted into the Process Meta Language (PROMELA) model, which is used by Simple Promela Interpreter (SPIN) model checker for verification. The entities in our model are Airplane, Ground Station, SWIM data and Data store. The communication between entities is modeled as transitions. The AATCS PROMELA model is checked for a state of consistency with its specifications to detect flaws using formal techniques to improve reliability and quality.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240701","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 : 2016-12-01DOI: 10.1109/IC3I.2016.7917993
N. Kaur, Sandeep Kad
Grouping of vehicles into clusters proves to be very rewarding for VANETs as if it reutilizes all the resources within group and thereby increases the system capacity. The main idealization of our work is to provide selection criteria for next available cluster head node (NACH). The various parameters for selection criteria are speed, position, acceleration, directional threshold point, threshold edge. Our proposed work aims to create dynamic cluster by marking down the re-clustering overhead. The simulation results shows that proposed technique prolonged the cluster longevity as compared to other archaic clustering process as well as the existing comparison technique used in the paper.
{"title":"Cluster connectivity selection criteria in vehicular ad hoc networks","authors":"N. Kaur, Sandeep Kad","doi":"10.1109/IC3I.2016.7917993","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917993","url":null,"abstract":"Grouping of vehicles into clusters proves to be very rewarding for VANETs as if it reutilizes all the resources within group and thereby increases the system capacity. The main idealization of our work is to provide selection criteria for next available cluster head node (NACH). The various parameters for selection criteria are speed, position, acceleration, directional threshold point, threshold edge. Our proposed work aims to create dynamic cluster by marking down the re-clustering overhead. The simulation results shows that proposed technique prolonged the cluster longevity as compared to other archaic clustering process as well as the existing comparison technique used in the paper.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129269548","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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