Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182199
P. Jayasree, M. Ponmani Raja
Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.
{"title":"Hybrid Techniques for Reducing PAPR in OFDM Systems","authors":"P. Jayasree, M. Ponmani Raja","doi":"10.1109/ICCSP48568.2020.9182199","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182199","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116639350","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182089
P. Vijayakumar, Ditipriya Gorai, Nitin Chauhan, Ujjawal Kant
Spectrum scarcity issue is being addressed by using dynamic spectrum sharing of cognitive radio. Primary user detection is the primary task in cognitive radio. Modulation Classification can be applied as the vital principle in this article to identify the particular primary user radio type. A novel method to classify the modulation type has been suggested in this paper by using the neural network algorithm. The entire system is implemented using a Software Defined Radio platform (NIUSRP). The system will classify the type of modulation and which is used to detect the presence of the primary user for the cognitive radio application. In this paper, three different modulation type has been implemented in USRP SDR in real-time. The primary purpose of implementing the modulation classification algorithm is to identify the existence of a signal at a given location at a given frequency band at the given time.
{"title":"Modulation Classifier for Primary User Detection","authors":"P. Vijayakumar, Ditipriya Gorai, Nitin Chauhan, Ujjawal Kant","doi":"10.1109/ICCSP48568.2020.9182089","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182089","url":null,"abstract":"Spectrum scarcity issue is being addressed by using dynamic spectrum sharing of cognitive radio. Primary user detection is the primary task in cognitive radio. Modulation Classification can be applied as the vital principle in this article to identify the particular primary user radio type. A novel method to classify the modulation type has been suggested in this paper by using the neural network algorithm. The entire system is implemented using a Software Defined Radio platform (NIUSRP). The system will classify the type of modulation and which is used to detect the presence of the primary user for the cognitive radio application. In this paper, three different modulation type has been implemented in USRP SDR in real-time. The primary purpose of implementing the modulation classification algorithm is to identify the existence of a signal at a given location at a given frequency band at the given time.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116713662","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182237
K. Satish, A. Lalitesh, K. Bhargavi, M.Sishir Prem, T. Anjali
All over the world Drowsiness has been the significant cause of horrible accidents which is causing deaths and fatalities injuries. Day by Day fatal injuries numbers are increasing globally. From the past many years, researchers have concluded drivers with a lack of sleep and more tiredness which causes drowsiness of the driver. this paper shows a new experimental model is designed for detecting drowsiness of driver is presented to reduce accidents caused by this problem which increases transport safety. In this work, two ways are used to detect the drowsiness of a person effectively. First Driver face is captured and eye retina detection and facial feature extraction are done and blinking values are calculated then threshold values are set. Secondly, the Aurdino module is used which is integrated with elastomeric sensors for real-time calculation of driver hand pressure on the car steering wheel and the threshold value is set. The result from both methods is taken as input for taking the final decision and alerting the driver.
{"title":"Driver Drowsiness Detection","authors":"K. Satish, A. Lalitesh, K. Bhargavi, M.Sishir Prem, T. Anjali","doi":"10.1109/ICCSP48568.2020.9182237","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182237","url":null,"abstract":"All over the world Drowsiness has been the significant cause of horrible accidents which is causing deaths and fatalities injuries. Day by Day fatal injuries numbers are increasing globally. From the past many years, researchers have concluded drivers with a lack of sleep and more tiredness which causes drowsiness of the driver. this paper shows a new experimental model is designed for detecting drowsiness of driver is presented to reduce accidents caused by this problem which increases transport safety. In this work, two ways are used to detect the drowsiness of a person effectively. First Driver face is captured and eye retina detection and facial feature extraction are done and blinking values are calculated then threshold values are set. Secondly, the Aurdino module is used which is integrated with elastomeric sensors for real-time calculation of driver hand pressure on the car steering wheel and the threshold value is set. The result from both methods is taken as input for taking the final decision and alerting the driver.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737373","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182258
Amrit Sreekumar, Karthika Nair, S. Sudheer, H. Ganesh Nayar, J. J. Nair
Lung Carcinoma, commonly known as Lung Cancer is an infectious lung tumour caused by uncontrollable tissue growth in the lungs. Presented here is an approach to detect malignant pulmonary nodules from CT scans using Deep Learning. A preprocessing pipeline was used to mask out the lung regions from the scans. The features were then extracted using a 3D CNN model based on the C3D network architecture. The LIDC-IDRI is the primary dataset used along with a few resources from the LUNA16 grand challenge for the reduction of false-positives. The end product is a model that predicts the coordinates of malignant pulmonary nodules and demarcates the corresponding areas from the CT scans. The final model achieved a sensitivity of 86 percent for detecting malignant Lung Nodules and predicting its malignancy scores.
{"title":"Malignant Lung Nodule Detection using Deep Learning","authors":"Amrit Sreekumar, Karthika Nair, S. Sudheer, H. Ganesh Nayar, J. J. Nair","doi":"10.1109/ICCSP48568.2020.9182258","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182258","url":null,"abstract":"Lung Carcinoma, commonly known as Lung Cancer is an infectious lung tumour caused by uncontrollable tissue growth in the lungs. Presented here is an approach to detect malignant pulmonary nodules from CT scans using Deep Learning. A preprocessing pipeline was used to mask out the lung regions from the scans. The features were then extracted using a 3D CNN model based on the C3D network architecture. The LIDC-IDRI is the primary dataset used along with a few resources from the LUNA16 grand challenge for the reduction of false-positives. The end product is a model that predicts the coordinates of malignant pulmonary nodules and demarcates the corresponding areas from the CT scans. The final model achieved a sensitivity of 86 percent for detecting malignant Lung Nodules and predicting its malignancy scores.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114738265","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182314
S. Dasgupta, Madhurupa Samaddar, C. Yogalakshmi, K. Vijayan, Subhiksha
In recent times hotel management has been pretty important when it comes to business meets and food chains. Currently in India multiple food chains are running out of which many food chains are running internationally too. One of the most important aspects of these chains is the management of customers and customer satisfaction. The first part of this project aims at intelligently predicting the choices and the personal details of the customer. This prediction is done through voice recognition where the voiceprint of a person is detected to access the database of the person which consists of his/her previous orders and special changes in the menu. This helps in knowing about the allergic reactions of a person to some specific food items and a customizable menu can be provided to the person. This would greatly help in management of customer databases and customer satisfaction as well as maintenance of the privacy of the person. The second part of the project deals with the food item detection algorithm using image processing so that veg and non veg food items do not get mixed up and the correct table receives the correct order.
{"title":"Autonomous Restaurant Serving System using Image Detection and Voiceprint Detection in Android Application","authors":"S. Dasgupta, Madhurupa Samaddar, C. Yogalakshmi, K. Vijayan, Subhiksha","doi":"10.1109/ICCSP48568.2020.9182314","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182314","url":null,"abstract":"In recent times hotel management has been pretty important when it comes to business meets and food chains. Currently in India multiple food chains are running out of which many food chains are running internationally too. One of the most important aspects of these chains is the management of customers and customer satisfaction. The first part of this project aims at intelligently predicting the choices and the personal details of the customer. This prediction is done through voice recognition where the voiceprint of a person is detected to access the database of the person which consists of his/her previous orders and special changes in the menu. This helps in knowing about the allergic reactions of a person to some specific food items and a customizable menu can be provided to the person. This would greatly help in management of customer databases and customer satisfaction as well as maintenance of the privacy of the person. The second part of the project deals with the food item detection algorithm using image processing so that veg and non veg food items do not get mixed up and the correct table receives the correct order.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115355877","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182259
R. Savitha, Vasudevan Karuppiah
This paper proposes a miniature, dual resonant filter to suppress the common-mode noise for high-speed digital circuit applications. This is a DGS(Defected Ground Structure) based filter. The uniqueness of this paper is that the single unit-cell DGS produces dual resonance. Both the two resonance are nearer to each other to provide wide stop bandwidth for common-mode noise. From the simulated results it is evident that the proposed filter allows the differential signal and attenuates the common-mode noise over the frequency band of interest. The filter is compact and it can be fabricated by using a standard PCB fabrication process.
{"title":"Dual Resonant DGS based Common-Mode Filter for High-Speed Digital Circuit Applications","authors":"R. Savitha, Vasudevan Karuppiah","doi":"10.1109/ICCSP48568.2020.9182259","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182259","url":null,"abstract":"This paper proposes a miniature, dual resonant filter to suppress the common-mode noise for high-speed digital circuit applications. This is a DGS(Defected Ground Structure) based filter. The uniqueness of this paper is that the single unit-cell DGS produces dual resonance. Both the two resonance are nearer to each other to provide wide stop bandwidth for common-mode noise. From the simulated results it is evident that the proposed filter allows the differential signal and attenuates the common-mode noise over the frequency band of interest. The filter is compact and it can be fabricated by using a standard PCB fabrication process.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"7 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123318312","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182053
N.T Bushra Abdulla, K. A. Navas
Protection of data still remains as an anxiety to the researchers in spite of large number of techniques have been proposed in the literature to protect digital rights and authentication of documents. One of the methods to provide security to the right holders is digital watermarking; the technique of hiding secret message in the document to ensure authentication. Effectiveness of Watermarking depends on the robustness, imperceptibility and security. Presence of online data including audio, images, videos and diagrams in binary representation is fast increasing. New digitization techniques are capable of successfully attacking earlier watermarking techniques. This demands the need of developing new watermarking techniques to prevent the attacks on water-marked images. We attempted in this work to examine recently reported watermarking techniques in the literature which are claimed to be meritorious by the authors In this paper we discuss the merits and inefficiencies of the recently reported techniques which claim many merits. Identification of the room for research will be helpful to the researches to attempt on the development of new techniques.
{"title":"High Security Watermarking Techniques for Digital Rights Management: A Review","authors":"N.T Bushra Abdulla, K. A. Navas","doi":"10.1109/ICCSP48568.2020.9182053","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182053","url":null,"abstract":"Protection of data still remains as an anxiety to the researchers in spite of large number of techniques have been proposed in the literature to protect digital rights and authentication of documents. One of the methods to provide security to the right holders is digital watermarking; the technique of hiding secret message in the document to ensure authentication. Effectiveness of Watermarking depends on the robustness, imperceptibility and security. Presence of online data including audio, images, videos and diagrams in binary representation is fast increasing. New digitization techniques are capable of successfully attacking earlier watermarking techniques. This demands the need of developing new watermarking techniques to prevent the attacks on water-marked images. We attempted in this work to examine recently reported watermarking techniques in the literature which are claimed to be meritorious by the authors In this paper we discuss the merits and inefficiencies of the recently reported techniques which claim many merits. Identification of the room for research will be helpful to the researches to attempt on the development of new techniques.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124717438","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182241
K. Divya, R. Maheswar, P. Jayarajan
The exploitation of natural resources which is present in under water is in increasing order, particularly in the sea. With much technological furtherance in the fields of healthcare, monitoring the environment, oil and gas exploration and others, it has ignited the process of growing. Wireless communications underwater play a vital role in all these systems that are available depending on radiofrequency, optical, and acoustic transmissions. Because of its advantages such as attenuation and distortion is less, low absorption, long range links, all others, Acoustic communication is chosen for many applications among these technologies. Underwater Acoustic communication has ample number of challenges in wireless medium. One of the main challenges is to manage the use of limited battery power. Many features hinder the utilization of battery power during transmission and Interference play a vital role because more power will be used in the retransmission of lost signals. This survey paper investigates about the different methods to reduce the interference in underwater wireless acoustic communication.
{"title":"Mitigation of Interference in Underwater Wireless Acoustic Communication - A Survey","authors":"K. Divya, R. Maheswar, P. Jayarajan","doi":"10.1109/ICCSP48568.2020.9182241","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182241","url":null,"abstract":"The exploitation of natural resources which is present in under water is in increasing order, particularly in the sea. With much technological furtherance in the fields of healthcare, monitoring the environment, oil and gas exploration and others, it has ignited the process of growing. Wireless communications underwater play a vital role in all these systems that are available depending on radiofrequency, optical, and acoustic transmissions. Because of its advantages such as attenuation and distortion is less, low absorption, long range links, all others, Acoustic communication is chosen for many applications among these technologies. Underwater Acoustic communication has ample number of challenges in wireless medium. One of the main challenges is to manage the use of limited battery power. Many features hinder the utilization of battery power during transmission and Interference play a vital role because more power will be used in the retransmission of lost signals. This survey paper investigates about the different methods to reduce the interference in underwater wireless acoustic communication.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121253451","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182049
Divya Sasidharan, G. Venugopal
Muscle fatigue is a common experience for all age groups. In this work a model to fit the fatigue and non fatigue surface electromyography (sEMG) signals using sum of sines is proposed. Signals are recorded from Biceps Brachii muscle of five healthy volunteers until fatigue using a well defined protocol. The fatigue and non fatigue conditions are analysed separately by non linear dynamical model. The sum of sine model is selected for fitting the signals. The sin7 model is found to be the best non linear fit for non fatigue condition and sin8 for fatigue condition. The Root Mean Square Error (RMSE) of fatigue condition reduced by 4 from sin7 model to sin8 model. Also the fatigue signal tends to be periodic than non fatigue signal. This method may be further extended to the non linear analysis of muscular disorders.
{"title":"Analysis of Surface EMG Signals under Fatigue Conditions using Sum of Sines Models","authors":"Divya Sasidharan, G. Venugopal","doi":"10.1109/ICCSP48568.2020.9182049","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182049","url":null,"abstract":"Muscle fatigue is a common experience for all age groups. In this work a model to fit the fatigue and non fatigue surface electromyography (sEMG) signals using sum of sines is proposed. Signals are recorded from Biceps Brachii muscle of five healthy volunteers until fatigue using a well defined protocol. The fatigue and non fatigue conditions are analysed separately by non linear dynamical model. The sum of sine model is selected for fitting the signals. The sin7 model is found to be the best non linear fit for non fatigue condition and sin8 for fatigue condition. The Root Mean Square Error (RMSE) of fatigue condition reduced by 4 from sin7 model to sin8 model. Also the fatigue signal tends to be periodic than non fatigue signal. This method may be further extended to the non linear analysis of muscular disorders.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123568428","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182229
C. Arivazhagan, V. Natarajan
The emergence of numerous IoT devices leads to more data explosion and uncontrollable traffic. Though cloud computing performs well in processing and storing data, most applications in IoT require quicker services. In Cloud applications, higher bandwidth is necessary to reduce the latency. Another major challenge in cloud computing is security. For increasing the response time of the system and providing effective security and privacy a concept called fog computing is introduced by cisco in January 2014. Fogging (fog computing) helps in the computation of data between end devices and cloud servers. This paper analyses and summarizes fog computing and characterizes need challenges like latency, data quality, real-time response, computation, resource allocation, privacy, security, heterogeneity, power management, bandwidth management, and other fog computing issues. Based on the analysis, a future research topic is also discussed to increase the response time of the system.
{"title":"A Survey on Fog computing paradigms, Challenges and Opportunities in IoT","authors":"C. Arivazhagan, V. Natarajan","doi":"10.1109/ICCSP48568.2020.9182229","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182229","url":null,"abstract":"The emergence of numerous IoT devices leads to more data explosion and uncontrollable traffic. Though cloud computing performs well in processing and storing data, most applications in IoT require quicker services. In Cloud applications, higher bandwidth is necessary to reduce the latency. Another major challenge in cloud computing is security. For increasing the response time of the system and providing effective security and privacy a concept called fog computing is introduced by cisco in January 2014. Fogging (fog computing) helps in the computation of data between end devices and cloud servers. This paper analyses and summarizes fog computing and characterizes need challenges like latency, data quality, real-time response, computation, resource allocation, privacy, security, heterogeneity, power management, bandwidth management, and other fog computing issues. Based on the analysis, a future research topic is also discussed to increase the response time of the system.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129376871","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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