Pub Date : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688523
S. S, V. K, V. K., Josh F T, V. B
The paper shows the photovoltaic frames and wind turbines draws energy from E-charging technique at low cost and having capacity to recharge stationary batteries. To charge the electric vehicle, force is required and provides electric power as of sustainable sources. It also presents the energy management methodology aimed at powering electric vehicle charging stations. Photovoltaic solar panels integrated with wind turbines used to exchange fuel energy in order to reduce carbon emissions pollution. This work is implemented by using Proteus software along with experimental results.
{"title":"Experimental Setup of Smart E-Vehicle Charging Station using IOT Technology","authors":"S. S, V. K, V. K., Josh F T, V. B","doi":"10.1109/ICMNWC52512.2021.9688523","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688523","url":null,"abstract":"The paper shows the photovoltaic frames and wind turbines draws energy from E-charging technique at low cost and having capacity to recharge stationary batteries. To charge the electric vehicle, force is required and provides electric power as of sustainable sources. It also presents the energy management methodology aimed at powering electric vehicle charging stations. Photovoltaic solar panels integrated with wind turbines used to exchange fuel energy in order to reduce carbon emissions pollution. This work is implemented by using Proteus software along with experimental results.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115285748","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688471
Sayyada Fahmeeda, Bhagyashree B K
In the current generation power system need to be more advanced and due to the various efforts power system has made a lot of advancements in the measurements, computer and communication networks. Safety has also become the most important for the Power System. Successful False Data Injection Attack (FDIA) involves an attacker compromising power system measurement such that undetected mistakes are included in state variable calculation. FDIAs may significantly harm security by skipping detection via widely used residue-based bad data identification techniques. Study on FDIA-based cyber-attacks has indeed been widespread since the first FDIA research was published in 2009[8].CPS (Cyber Power System) is a very new form of designed system imported into a dynamic environment into computing and physical processes. CPS is helpful in technological fields like cybernetics, mechatronics, design, and built-in systems, the Internet of Things (IOT), big data, artificial intelligence (AI) and much more False Data Injection Attack (FDIA) this is termed as Fake Data Injection Attack when compromised measures create events that do not exist. How can these False Data Injection Attacks be identified It indicates that we observe whether request is coming from real users or from fraudulent users will verify if they match in our central database it will allow that request if does not match it will block that request. The project provides a summary of the theoretical foundations for Cyber-Physical Power System FDIAs with Cyber Power System FDIA Identifications.
目前发电电力系统需要更加先进，由于各方的努力，电力系统在测量、计算机和通信网络方面取得了很大的进步。安全也成为电力系统最重要的问题。成功的虚假数据注入攻击(FDIA)涉及攻击者破坏电力系统测量，使未被检测到的错误包含在状态变量计算中。通过广泛使用的基于残留物的不良数据识别技术，fdi可能会跳过检测，从而严重危害安全性。自2009年首次发布FDIA研究报告以来，基于FDIA的网络攻击研究确实得到了广泛开展。CPS (Cyber Power System)是一种全新的设计系统，将其引入动态环境中进行计算和物理处理。CPS在控制论、机电一体化、设计和内置系统、物联网(IOT)、大数据、人工智能(AI)等技术领域很有帮助，更多的是虚假数据注入攻击(FDIA)，当受损措施创建不存在的事件时，这被称为虚假数据注入攻击。如何识别这些虚假数据注入攻击它表明我们观察请求是来自真实用户还是来自欺诈用户将验证他们是否在我们的中央数据库中匹配，它将允许该请求，如果不匹配，它将阻止该请求。本项目概述了网络-物理电力系统FDIA的理论基础和网络电力系统FDIA辨识。
{"title":"Detection and Prevention of False Data Injection Attack in Cyber Physical Power System","authors":"Sayyada Fahmeeda, Bhagyashree B K","doi":"10.1109/ICMNWC52512.2021.9688471","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688471","url":null,"abstract":"In the current generation power system need to be more advanced and due to the various efforts power system has made a lot of advancements in the measurements, computer and communication networks. Safety has also become the most important for the Power System. Successful False Data Injection Attack (FDIA) involves an attacker compromising power system measurement such that undetected mistakes are included in state variable calculation. FDIAs may significantly harm security by skipping detection via widely used residue-based bad data identification techniques. Study on FDIA-based cyber-attacks has indeed been widespread since the first FDIA research was published in 2009[8].CPS (Cyber Power System) is a very new form of designed system imported into a dynamic environment into computing and physical processes. CPS is helpful in technological fields like cybernetics, mechatronics, design, and built-in systems, the Internet of Things (IOT), big data, artificial intelligence (AI) and much more False Data Injection Attack (FDIA) this is termed as Fake Data Injection Attack when compromised measures create events that do not exist. How can these False Data Injection Attacks be identified It indicates that we observe whether request is coming from real users or from fraudulent users will verify if they match in our central database it will allow that request if does not match it will block that request. The project provides a summary of the theoretical foundations for Cyber-Physical Power System FDIAs with Cyber Power System FDIA Identifications.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115988112","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688503
Jayaprada Hiremath, Shantakumar B. Patil, Premjyoti S. Patil
From the past few years, much exertion has been carried out for age assessment & recognition of gender through face images. The images of Human’s faces uncover different data like gender, age, and nationality. Computer vision and pattern recognition in the discipline of computer vision represent an ideal role in human beings through automatic detection of face, recognition of gesture and face, and finding age and gender. Here through the paper describes a survey on predicting age and gender using face images. Various research has been developed on age and gender prediction using various features like face features, body pose, MRI brain images, giants, and pam. The face features can give more features for age and gender identification.
{"title":"Human Age and Gender Prediction using Machine Learning Algorithm","authors":"Jayaprada Hiremath, Shantakumar B. Patil, Premjyoti S. Patil","doi":"10.1109/ICMNWC52512.2021.9688503","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688503","url":null,"abstract":"From the past few years, much exertion has been carried out for age assessment & recognition of gender through face images. The images of Human’s faces uncover different data like gender, age, and nationality. Computer vision and pattern recognition in the discipline of computer vision represent an ideal role in human beings through automatic detection of face, recognition of gesture and face, and finding age and gender. Here through the paper describes a survey on predicting age and gender using face images. Various research has been developed on age and gender prediction using various features like face features, body pose, MRI brain images, giants, and pam. The face features can give more features for age and gender identification.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579554","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688334
Sunilkumar Hattaraki, P. Patil, U. Dixit
Global inhabitant’s number is rapidly growing, and thus we are worried about the electricity. Non-renewable energy sources like fossil fuels are soon being depleted and in future days they will no longer be existing. Another possible energy source which is renewable and available in huge quantity is needed. Solar radiation fits both the ideas. In today’s generation energy crisis is a huge problem. Now the only option left to meet the energy requirements is to make use of abundantly available renewable resources like wind, solar energy, etc. Most cost effective energy is solar energy because it will not only meet our energy demands but also provides cheap and clean energy. Hence, there are many technologies coming up to focus on gathering solar energy. One of such technologies is using a Double Axis Sun tracing system which traces the sunrays in both X and Y axis and gives rise to maximum power outcome in an efficient way.
{"title":"Power Management and Tracking System Using Dual Axis Solar Panel-DASP","authors":"Sunilkumar Hattaraki, P. Patil, U. Dixit","doi":"10.1109/ICMNWC52512.2021.9688334","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688334","url":null,"abstract":"Global inhabitant’s number is rapidly growing, and thus we are worried about the electricity. Non-renewable energy sources like fossil fuels are soon being depleted and in future days they will no longer be existing. Another possible energy source which is renewable and available in huge quantity is needed. Solar radiation fits both the ideas. In today’s generation energy crisis is a huge problem. Now the only option left to meet the energy requirements is to make use of abundantly available renewable resources like wind, solar energy, etc. Most cost effective energy is solar energy because it will not only meet our energy demands but also provides cheap and clean energy. Hence, there are many technologies coming up to focus on gathering solar energy. One of such technologies is using a Double Axis Sun tracing system which traces the sunrays in both X and Y axis and gives rise to maximum power outcome in an efficient way.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116587858","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688552
Pramod Sunagar, Darshana A. Naik, V. Sangeetha, A. Kanavalli, S. Seema
In the recent era, technology and digitalization have completely changed the way of making business and making the decision. This has pushed the companies to transform to keep up with the intense competition. Decision-making is a vital part of all sorts of businesses. A good company is characterized by its ability to make decisions. To make the right decisions, there are several tools that a company uses. Some of the tools are related to research analysis and studies on the analysis. Research-based result analysis will play a major role in helping the company or any business organization to make decisions in favor of the company's product sales. In this paper, the proposed system is to design a Web application to collect feedback for a mobile company. Primarily sends the feedback link to various customers, and then the feedback responses are collected for further analyses. Sentiment analysis is performed using a machine learning technique, namely CART (Classification and Regression Tree). The decision making power gives the accurate result and provide valuable inputs to the companies regarding the areas where the company can improve the product.
{"title":"Feedback Collection and Sentiment Analysis on the Product Reviews","authors":"Pramod Sunagar, Darshana A. Naik, V. Sangeetha, A. Kanavalli, S. Seema","doi":"10.1109/ICMNWC52512.2021.9688552","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688552","url":null,"abstract":"In the recent era, technology and digitalization have completely changed the way of making business and making the decision. This has pushed the companies to transform to keep up with the intense competition. Decision-making is a vital part of all sorts of businesses. A good company is characterized by its ability to make decisions. To make the right decisions, there are several tools that a company uses. Some of the tools are related to research analysis and studies on the analysis. Research-based result analysis will play a major role in helping the company or any business organization to make decisions in favor of the company's product sales. In this paper, the proposed system is to design a Web application to collect feedback for a mobile company. Primarily sends the feedback link to various customers, and then the feedback responses are collected for further analyses. Sentiment analysis is performed using a machine learning technique, namely CART (Classification and Regression Tree). The decision making power gives the accurate result and provide valuable inputs to the companies regarding the areas where the company can improve the product.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128249802","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688407
R. Shashidhar, A. Manjunath, R. Santhosh Kumar, M. Roopa, S. Puneeth
Automatic Number Plate Recognition is one of the many information systems which is used data extraction from given vehicle image and apply the data for further usage in safe, secure and modernistic Transportation System. The Novelty of the project is that even if the image is blurred, our system can deblur the given image and apply it to the Machine Learning models further. In the proposed work, You Only Look Once [YOLO] V3 model for Region of Interest [ROI]; Convolution Neural Network [CNN] for optical character recognition was implemented. After the ROI is detected, it will be enhanced with pre-processing steps before it is fed to CNN model. Dataset of different Indian Number Plates’ Font was created, consisting of 6439 images of different alpha- numerical characters. Accuracy of 91.5 percent is obtained. The extracted and sorted characters of the number plate is cross- checked with the Indian RTO database and the information regarding which RTO the input vehicle image belongs to, is provided.
{"title":"Vehicle Number Plate Detection and Recognition using YOLO- V3 and OCR Method","authors":"R. Shashidhar, A. Manjunath, R. Santhosh Kumar, M. Roopa, S. Puneeth","doi":"10.1109/ICMNWC52512.2021.9688407","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688407","url":null,"abstract":"Automatic Number Plate Recognition is one of the many information systems which is used data extraction from given vehicle image and apply the data for further usage in safe, secure and modernistic Transportation System. The Novelty of the project is that even if the image is blurred, our system can deblur the given image and apply it to the Machine Learning models further. In the proposed work, You Only Look Once [YOLO] V3 model for Region of Interest [ROI]; Convolution Neural Network [CNN] for optical character recognition was implemented. After the ROI is detected, it will be enhanced with pre-processing steps before it is fed to CNN model. Dataset of different Indian Number Plates’ Font was created, consisting of 6439 images of different alpha- numerical characters. Accuracy of 91.5 percent is obtained. The extracted and sorted characters of the number plate is cross- checked with the Indian RTO database and the information regarding which RTO the input vehicle image belongs to, is provided.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124776310","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688381
T. Bharath, Gondi Sai Yatin, Sowmya Y A, Sompalli Anil Sai, Annanya Parameswaran, Renuka Kajur
In this modern era of communication, technological advancement is fast-paced. The development of numerous wireless communication applications has accelerated dramatically. Antenna design has become more efficient than ever before. This paper presents a design of a circularly polarized microstrip patch antenna with a resonating frequency of 2.29 GHz and a gain of 9.68 dB. The design is sleek and miniaturized making it viable to use even in the smallest of the spaces. Optimization is performed using various gain enhancement techniques like superstrate. Return loss, VSWR, radiation pattern, gain, and other antenna parameters were computed and analyzed using the 3D CAD software HFSS 13.0.
{"title":"Circular Microstrip Patch Antenna Using Superstrate for Deep Space Application","authors":"T. Bharath, Gondi Sai Yatin, Sowmya Y A, Sompalli Anil Sai, Annanya Parameswaran, Renuka Kajur","doi":"10.1109/ICMNWC52512.2021.9688381","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688381","url":null,"abstract":"In this modern era of communication, technological advancement is fast-paced. The development of numerous wireless communication applications has accelerated dramatically. Antenna design has become more efficient than ever before. This paper presents a design of a circularly polarized microstrip patch antenna with a resonating frequency of 2.29 GHz and a gain of 9.68 dB. The design is sleek and miniaturized making it viable to use even in the smallest of the spaces. Optimization is performed using various gain enhancement techniques like superstrate. Return loss, VSWR, radiation pattern, gain, and other antenna parameters were computed and analyzed using the 3D CAD software HFSS 13.0.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387022","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688472
N. Patil, A. Parveen
Wireless Sensor Network aka WSN is utilized for various applications such as military agriculture and other commercial fields which causes a huge range of data generation; such large data causes the data redundancy and it’s difficult to analyse, hence data aggregation approach is used. A popular mechanism of data aggregation which has been used in reducing data redundancy has always been compressive sensing. Hence, this research uses the development and design of an ICCM (Integrated CS Clustering) mechanism, which is used in the incorporation of clusters and mechanism of compressive sensing for a design and an efficient WSN architecture. In ICCM, the heads of the clusters use an optimized CS mechanism in the transmission of data to the base station. Further, an approach of optimized clustering has been used for efficient clustering. A stand-alone logical link has been designed for the transmission of data. The ICCM is then evaluated, considering various parameters are considered such as consumption of energy, Communication overhead, and route length. There is also a comparative study and analysis of the existing model which suggests the ICCM outperforms the existing model with a nearly average improvisation of 45% in terms of energy consumption.
{"title":"Integrated Compressive Sensing based Clustering Approach to Improve Network Lifetime in WSN","authors":"N. Patil, A. Parveen","doi":"10.1109/ICMNWC52512.2021.9688472","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688472","url":null,"abstract":"Wireless Sensor Network aka WSN is utilized for various applications such as military agriculture and other commercial fields which causes a huge range of data generation; such large data causes the data redundancy and it’s difficult to analyse, hence data aggregation approach is used. A popular mechanism of data aggregation which has been used in reducing data redundancy has always been compressive sensing. Hence, this research uses the development and design of an ICCM (Integrated CS Clustering) mechanism, which is used in the incorporation of clusters and mechanism of compressive sensing for a design and an efficient WSN architecture. In ICCM, the heads of the clusters use an optimized CS mechanism in the transmission of data to the base station. Further, an approach of optimized clustering has been used for efficient clustering. A stand-alone logical link has been designed for the transmission of data. The ICCM is then evaluated, considering various parameters are considered such as consumption of energy, Communication overhead, and route length. There is also a comparative study and analysis of the existing model which suggests the ICCM outperforms the existing model with a nearly average improvisation of 45% in terms of energy consumption.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114692304","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688388
V. P., M. S.
This work expresses a circular center core fiber based gas sensor for noticing carbon disulphide (CS2). In this paper, the entire reenactment has finished by COMSOL software by (FEM). The rectangular center based sensor is working for observing the gases with a high affectability differentiation to strong and circular center PCF sensors. Distinctive mathematical boundaries of this plan, for example, air opening, center material, cladding material and Perfectly Matched Layer (PML) have been dramatically investigated to make the plan more compelling. This plan furnishes the overall sensitivity of 99.53% with a confinement loss of 0.002 dB/m at λ= 1.8 μm intuition of CS2. The lower compelling region based rectangular gas sensor can keep a lot of light in the center and results the best presentation. The result gives the sensor being a fitting contender for noticing CS2 gas in the climate precisely.
{"title":"Monitoring of CS2 Gas with Very High Accuracy using Photonic Crystal Fiber","authors":"V. P., M. S.","doi":"10.1109/ICMNWC52512.2021.9688388","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688388","url":null,"abstract":"This work expresses a circular center core fiber based gas sensor for noticing carbon disulphide (CS2). In this paper, the entire reenactment has finished by COMSOL software by (FEM). The rectangular center based sensor is working for observing the gases with a high affectability differentiation to strong and circular center PCF sensors. Distinctive mathematical boundaries of this plan, for example, air opening, center material, cladding material and Perfectly Matched Layer (PML) have been dramatically investigated to make the plan more compelling. This plan furnishes the overall sensitivity of 99.53% with a confinement loss of 0.002 dB/m at λ= 1.8 μm intuition of CS2. The lower compelling region based rectangular gas sensor can keep a lot of light in the center and results the best presentation. The result gives the sensor being a fitting contender for noticing CS2 gas in the climate precisely.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132944736","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 : 2021-12-03DOI: 10.1109/ICMNWC52512.2021.9688477
S. Arvind, Devika S V, K. Mohanalakshmi
The main objective of this paper is to analyze the performance of Reed-Solomon Code (RS) for different digital modulation schemes over an Additive White Gaussian Noise (AWGN) channel. The simulation model provides error detection and correction using Reed-Solomon (RS) with erasure, puncture and shortening. The original message is encoded and decoded using RS code. MATLAB Simulink model is selected, as the investigation tool. Bit Error Rate(BER) Versus Signal to Noise Ration (SNR) plot results are plotted under various modulation schemes like DPSK, QAM & FSK.
{"title":"Performance Measurement of Reed-Solomon Codes through AWGN Channel under Various Modulation Schemes","authors":"S. Arvind, Devika S V, K. Mohanalakshmi","doi":"10.1109/ICMNWC52512.2021.9688477","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688477","url":null,"abstract":"The main objective of this paper is to analyze the performance of Reed-Solomon Code (RS) for different digital modulation schemes over an Additive White Gaussian Noise (AWGN) channel. The simulation model provides error detection and correction using Reed-Solomon (RS) with erasure, puncture and shortening. The original message is encoded and decoded using RS code. MATLAB Simulink model is selected, as the investigation tool. Bit Error Rate(BER) Versus Signal to Noise Ration (SNR) plot results are plotted under various modulation schemes like DPSK, QAM & FSK.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132839570","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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