Pub Date : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824844
V. Radhakrishnan, D. Durairaj, Kannapiran Balasubramanian, K. Kamatchi
Data security is a major requirement of smart meter communication to control server through Advanced Metering infrastructure. Easy access of smart meters and multi-faceted nature of AMI communication network are the main reasons of smart meter facing large number of attacks. The different topology, bandwidth and heterogeneity in communication network prevent the existing security mechanisms in satisfying the security requirements of smart meter. Hence, advanced security mechanisms are essential to encrypt smart meter data before transmitting to control server. The emerging biocryptography technique has several advantages over existing techniques and is most suitable for providing security to communication of low processing devices like smart meter. In this paper, a lightweight encryption scheme using DNA sequence with suitable key management scheme is proposed for secure communication of smart meter in an efficient way. The proposed 2-phase DNA cryptography provides confidentiality and integrity to transmitted data and the authentication of keys is attained by exchanging through Diffie Hellman scheme. The strength of proposed encryption scheme is analyzed and its efficiency is evaluated by simulating an AMI communication network using Simulink/Matlab. Comparison of simulation results with various techniques show that the proposed scheme is suitable for secure communication of smart meter data.
{"title":"Development Of A Novel Security Scheme Using DNA Biocryptography For Smart Meter Data Communication","authors":"V. Radhakrishnan, D. Durairaj, Kannapiran Balasubramanian, K. Kamatchi","doi":"10.1109/ICCCT2.2019.8824844","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824844","url":null,"abstract":"Data security is a major requirement of smart meter communication to control server through Advanced Metering infrastructure. Easy access of smart meters and multi-faceted nature of AMI communication network are the main reasons of smart meter facing large number of attacks. The different topology, bandwidth and heterogeneity in communication network prevent the existing security mechanisms in satisfying the security requirements of smart meter. Hence, advanced security mechanisms are essential to encrypt smart meter data before transmitting to control server. The emerging biocryptography technique has several advantages over existing techniques and is most suitable for providing security to communication of low processing devices like smart meter. In this paper, a lightweight encryption scheme using DNA sequence with suitable key management scheme is proposed for secure communication of smart meter in an efficient way. The proposed 2-phase DNA cryptography provides confidentiality and integrity to transmitted data and the authentication of keys is attained by exchanging through Diffie Hellman scheme. The strength of proposed encryption scheme is analyzed and its efficiency is evaluated by simulating an AMI communication network using Simulink/Matlab. Comparison of simulation results with various techniques show that the proposed scheme is suitable for secure communication of smart meter data.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116725729","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824976
Mohamed I. M. Hilal
The aim of the study is to investigate the impact of social media marketing efforts on the creation of brand equity of Sri Lanka as a destination for international tourists. The other specific objectives are; to explore the social media marketing efforts of Sri Lanka as destination brand, to investigate the brand equity of Sri Lanka as destination and to recommend suggestions to improve the social media marketing efforts for Sri Lanka as destination brand. Results reveal that all factors under the social media marketing efforts namely entertainment, customization and eWOM are positively contributing to the brand equity of Sri Lanka as a destination. However, the other two factors of social media marketing efforts such as interaction and trendiness are negatively impacting on the brand equity of Sri Lanka as destination. Therefore, it is recommended that destination marketers of Sri Lanka need to give moreattention on the interaction and trendiness of the social media marketing efforts.
{"title":"Impact of social media marketing efforts on Destination’s brand equity: A study among International Tourists arriving to Sri Lanka","authors":"Mohamed I. M. Hilal","doi":"10.1109/ICCCT2.2019.8824976","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824976","url":null,"abstract":"The aim of the study is to investigate the impact of social media marketing efforts on the creation of brand equity of Sri Lanka as a destination for international tourists. The other specific objectives are; to explore the social media marketing efforts of Sri Lanka as destination brand, to investigate the brand equity of Sri Lanka as destination and to recommend suggestions to improve the social media marketing efforts for Sri Lanka as destination brand. Results reveal that all factors under the social media marketing efforts namely entertainment, customization and eWOM are positively contributing to the brand equity of Sri Lanka as a destination. However, the other two factors of social media marketing efforts such as interaction and trendiness are negatively impacting on the brand equity of Sri Lanka as destination. Therefore, it is recommended that destination marketers of Sri Lanka need to give moreattention on the interaction and trendiness of the social media marketing efforts.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128011947","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824807
B. Patle, Brijesh Patel, A. Pandey, O. Sahu, D. Parhi
At present, many intelligent techniques have been developed by various researchers in the field of mobile robot navigation. It is the task of getting proper movement in the environment to attain said goal by detecting and avoiding the obstacle with less human interference. For effective navigational strategy, Firefly-Fuzzy hybrid algorithm is analyzed over the unstructured environment because individual technique may not guaranty for an optimal solution over all configurations. The key advantage of the proposed hybrid controller is that it combines the multiple features of the different approaches into a single controller. The simulation and experimental results are presented at the end of paper over various environmental conditions and it is compared with the standalone algorithm; it is observed that the hybrid Firefly-Fuzzy controller performs well in terms of path and time optimization.
{"title":"Analysis of Firefly-Fuzzy Hybrid Controller for Wheeled Mobile Robot","authors":"B. Patle, Brijesh Patel, A. Pandey, O. Sahu, D. Parhi","doi":"10.1109/ICCCT2.2019.8824807","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824807","url":null,"abstract":"At present, many intelligent techniques have been developed by various researchers in the field of mobile robot navigation. It is the task of getting proper movement in the environment to attain said goal by detecting and avoiding the obstacle with less human interference. For effective navigational strategy, Firefly-Fuzzy hybrid algorithm is analyzed over the unstructured environment because individual technique may not guaranty for an optimal solution over all configurations. The key advantage of the proposed hybrid controller is that it combines the multiple features of the different approaches into a single controller. The simulation and experimental results are presented at the end of paper over various environmental conditions and it is compared with the standalone algorithm; it is observed that the hybrid Firefly-Fuzzy controller performs well in terms of path and time optimization.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123854642","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824916
P. Varalakshmi, J. Julanta Leela Rachel
Nowadays the most crucial aspect in Fisheries is the classification and localization of Fish. Due to Segmentation problems, noise and changes in the environmental conditions, it is difficult to classify the images with good accuracy. However, the object recognition with greater accuracy is in great demand. So, in order to solve this problem, the Convolutional Neural Network is used which helps to classify and localize the images with better accuracy. Fish classification is made by training the dataset and the level of accuracy has been improved by using different activation functions. Several comparisons have been made and finally a better method has been identified, thereby the accuracy is improved. Localization helps to generate Region proposals and class labels successfully. Finally, image classification and localization has been made with greater accuracy.
{"title":"Recognition Of Fish Categories Using Deep Learning Technique","authors":"P. Varalakshmi, J. Julanta Leela Rachel","doi":"10.1109/ICCCT2.2019.8824916","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824916","url":null,"abstract":"Nowadays the most crucial aspect in Fisheries is the classification and localization of Fish. Due to Segmentation problems, noise and changes in the environmental conditions, it is difficult to classify the images with good accuracy. However, the object recognition with greater accuracy is in great demand. So, in order to solve this problem, the Convolutional Neural Network is used which helps to classify and localize the images with better accuracy. Fish classification is made by training the dataset and the level of accuracy has been improved by using different activation functions. Several comparisons have been made and finally a better method has been identified, thereby the accuracy is improved. Localization helps to generate Region proposals and class labels successfully. Finally, image classification and localization has been made with greater accuracy.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020214","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}
This paper provides an analysis of the use of Cauchy mutation and Gaussian mutation individually in a popular improved version of particle swarm optimization techniques for the improvement of convergence to final global solution. The particle swarm optimization is one of the famous techniques of swarm intelligence which has exhibited a standard performance in different real world as well as benchmark problems. But it has also some limitations, which forces the researchers to introduce some modifications for improvement of its convergence. In this paper, we propose two enhanced PSO alternate i.e. Cauchy mutated Crazy PSO and Gaussian mutated Crazy PSO, where the concept of Cauchy and Gaussian mutation are introduced respectively. Crazy PSO is one of the widely used modifications of in the earlier improved versions of PSO. Simulation results show that the Cauchy mutated crazy PSO has shown better results in comparison to the Gaussian mutated crazy PSO. The result also shown that both the modifications have exhibited better performance than the normal crazy PSO algorithm. The introduction of Cauchy mutation and Gaussian mutation helps in improvement of the performance of the crazy PSO algorithm which can be easily verified by the variation of dimensions along with population size.
{"title":"Comparative Analysis of Cauchy Mutation and Gaussian Mutation in Crazy PSO","authors":"Archana Sarangi, Sonali Samal, Shubhendu Kumar Sarangi","doi":"10.1109/ICCCT2.2019.8824972","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824972","url":null,"abstract":"This paper provides an analysis of the use of Cauchy mutation and Gaussian mutation individually in a popular improved version of particle swarm optimization techniques for the improvement of convergence to final global solution. The particle swarm optimization is one of the famous techniques of swarm intelligence which has exhibited a standard performance in different real world as well as benchmark problems. But it has also some limitations, which forces the researchers to introduce some modifications for improvement of its convergence. In this paper, we propose two enhanced PSO alternate i.e. Cauchy mutated Crazy PSO and Gaussian mutated Crazy PSO, where the concept of Cauchy and Gaussian mutation are introduced respectively. Crazy PSO is one of the widely used modifications of in the earlier improved versions of PSO. Simulation results show that the Cauchy mutated crazy PSO has shown better results in comparison to the Gaussian mutated crazy PSO. The result also shown that both the modifications have exhibited better performance than the normal crazy PSO algorithm. The introduction of Cauchy mutation and Gaussian mutation helps in improvement of the performance of the crazy PSO algorithm which can be easily verified by the variation of dimensions along with population size.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129191412","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824890
B. Sahoo, Akanksha Maharana, M. Murali, L. Shivani, G. Suganya, M. Premalatha
With the ever growing population, increase in vehicle use, industrialization and urbanization, the level of pollution in the air has increased resulting in several harmful effects on the well-being of humans by directly affecting their health. This paper proposes a model based on IoT called the Air Sensing System which will help monitor the quality of air that we breathe over a cloud based platform and will trigger an alarm when the air quality dips below a certain level, which would basically suggest that there are significant number of pollutants present in the surrounding air like CO2, smoke, NO2, SO2, or LPG. The model will then display the air quality in PPM on the internet based platform making it extremely convenient to monitor. The proposed model uses MQ135 sensor which is the best choice for a pocket friendly device that can monitor air quality as it detects the most harmful gases and can measure their amount with precision and accuracy. The model offers ease of usage as the air quality can be monitored from anywhere using any computer or mobile. The model can act as a module for a air purifying system in the future where the model triggers some actuator like an Exhaust Fan or Air Conditioner when the pollution rises above a certain level or can be used to alert the owner through a message. With the ever growing pollution, such a low cost model is the need of the hour.
{"title":"Low-Cost Air Sensing System","authors":"B. Sahoo, Akanksha Maharana, M. Murali, L. Shivani, G. Suganya, M. Premalatha","doi":"10.1109/ICCCT2.2019.8824890","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824890","url":null,"abstract":"With the ever growing population, increase in vehicle use, industrialization and urbanization, the level of pollution in the air has increased resulting in several harmful effects on the well-being of humans by directly affecting their health. This paper proposes a model based on IoT called the Air Sensing System which will help monitor the quality of air that we breathe over a cloud based platform and will trigger an alarm when the air quality dips below a certain level, which would basically suggest that there are significant number of pollutants present in the surrounding air like CO2, smoke, NO2, SO2, or LPG. The model will then display the air quality in PPM on the internet based platform making it extremely convenient to monitor. The proposed model uses MQ135 sensor which is the best choice for a pocket friendly device that can monitor air quality as it detects the most harmful gases and can measure their amount with precision and accuracy. The model offers ease of usage as the air quality can be monitored from anywhere using any computer or mobile. The model can act as a module for a air purifying system in the future where the model triggers some actuator like an Exhaust Fan or Air Conditioner when the pollution rises above a certain level or can be used to alert the owner through a message. With the ever growing pollution, such a low cost model is the need of the hour.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130084923","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824884
V. Kalaiselvi, D. Aravindhar
A weld defect is a flaw occurs during the weldment. These defects are unavoidable during welding process. In this paper, an efficient weld image classification system for the classification of weld images into defect or no defect is presented. It uses GD X-ray weld image database for the evaluation. Discrete Wavelet Transform (DWT) is applied to GD X-ray weld images to obtain the wavelet coefficients of low and high frequencies. Then, energy and entropy features are computed. Support Vector Machine (SVM) classifier with different kernels is used for classification of flaw images into defect or no defect. Result show that DWT and SVM classifier provides 95% accuracy for weld image classification.
{"title":"An Efficient Weld Image Classification System Using Wavelet And Support Vector Machine","authors":"V. Kalaiselvi, D. Aravindhar","doi":"10.1109/ICCCT2.2019.8824884","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824884","url":null,"abstract":"A weld defect is a flaw occurs during the weldment. These defects are unavoidable during welding process. In this paper, an efficient weld image classification system for the classification of weld images into defect or no defect is presented. It uses GD X-ray weld image database for the evaluation. Discrete Wavelet Transform (DWT) is applied to GD X-ray weld images to obtain the wavelet coefficients of low and high frequencies. Then, energy and entropy features are computed. Support Vector Machine (SVM) classifier with different kernels is used for classification of flaw images into defect or no defect. Result show that DWT and SVM classifier provides 95% accuracy for weld image classification.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131558119","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824983
A. Farooqi, Syed Imtiyaz Hassan, M. A. Alam
Designing a sustainable society is a key concern of the United Nations’ 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.
{"title":"Sustainability and Fog Computing: Applications, Advantages and Challenges","authors":"A. Farooqi, Syed Imtiyaz Hassan, M. A. Alam","doi":"10.1109/ICCCT2.2019.8824983","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824983","url":null,"abstract":"Designing a sustainable society is a key concern of the United Nations’ 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114073156","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824840
S. Gomathi, V. Aravinthan, M. Sanju, S. Selvam
The Casecop is a mobile drone case that is used for mobile safety. The mobile with drone case wherever dropped automatically the mobile flying and detecting the user who has a drone controller and coming to near that user easily. These drone case help to many users to protect mobile. Our proposed system provides waterproof for the mobile through the sensors which are placed into the mobile case. When the sensor detects the water flows, it will automatically close the areas like charger port, headphone port, etc.
{"title":"CASECOP: A Drone Case for Mobile","authors":"S. Gomathi, V. Aravinthan, M. Sanju, S. Selvam","doi":"10.1109/ICCCT2.2019.8824840","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824840","url":null,"abstract":"The Casecop is a mobile drone case that is used for mobile safety. The mobile with drone case wherever dropped automatically the mobile flying and detecting the user who has a drone controller and coming to near that user easily. These drone case help to many users to protect mobile. Our proposed system provides waterproof for the mobile through the sensors which are placed into the mobile case. When the sensor detects the water flows, it will automatically close the areas like charger port, headphone port, etc.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128390102","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 : 2019-02-01DOI: 10.1109/ICCCT2.2019.8824798
Deva Priya Isravel, S. Silas, E. Rajsingh
Today’s networks provide a plethora of applications with heterogeneous characteristics. The network generates a huge volume of traffic because of its distributed nature and requires preferential treatment for controlling them. The existing traditional system lacks efficiency because of the diverse nature of the network and the need for the high-performance network is imminent. However, one of the predominant issues that demand high attention is traffic flow management. This paper explores the various traffic management approaches and analyses the significant role played by the next hop neighbor node selection in improving the performance of the network. To address this issue, the emerging software defined networking paradigm (SDN) is introduced to enable flexible traffic flow control. A novel method for traffic flow management by adopting the Simple Multi-Attribute Rating Technique (SMART) ranking method has been proposed for selecting the best next hop neighbor for forwarding the flows. A flow scheduling algorithm has been adopted for minimizing the maximum link utilization and provide improved performance. Simulation result shows that the proposed algorithm performs better in terms of throughput and latency.
{"title":"Preferential Multi-Attribute Rank based Forwarding Node Selection in Software Defined Networks","authors":"Deva Priya Isravel, S. Silas, E. Rajsingh","doi":"10.1109/ICCCT2.2019.8824798","DOIUrl":"https://doi.org/10.1109/ICCCT2.2019.8824798","url":null,"abstract":"Today’s networks provide a plethora of applications with heterogeneous characteristics. The network generates a huge volume of traffic because of its distributed nature and requires preferential treatment for controlling them. The existing traditional system lacks efficiency because of the diverse nature of the network and the need for the high-performance network is imminent. However, one of the predominant issues that demand high attention is traffic flow management. This paper explores the various traffic management approaches and analyses the significant role played by the next hop neighbor node selection in improving the performance of the network. To address this issue, the emerging software defined networking paradigm (SDN) is introduced to enable flexible traffic flow control. A novel method for traffic flow management by adopting the Simple Multi-Attribute Rating Technique (SMART) ranking method has been proposed for selecting the best next hop neighbor for forwarding the flows. A flow scheduling algorithm has been adopted for minimizing the maximum link utilization and provide improved performance. Simulation result shows that the proposed algorithm performs better in terms of throughput and latency.","PeriodicalId":445544,"journal":{"name":"2019 3rd International Conference on Computing and Communications Technologies (ICCCT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123923752","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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