Standardising the use of Duplex Channels in 5G-WiFi Networking for Ambient Assisted Living

Kaneriya, Shriya; Vora, Jayneel; Tanwar, Sudeep; Tyagi, Sudhanshu

doi:10.1109/iccw.2019.8757145

Cited by 17 publications

(7 citation statements)

References 8 publications

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“…The proposed architecture [1] can pave the way for full duplex communications in 5G spectrum. authors illustrate the same for a healthcare unit.…”

Section: Literature Surveymentioning

confidence: 99%

“…From the past few decades, data has become a necessary source of intelligence and carries new opportunities to the real-life problems such as wireless communications, bioinformatics [1], agriculture [2], and finance [3] through smart applications. These applications square measure data-driven and incorporate unjust insights into user expertise, that permits individuals to complete the required task additional expeditiously.…”

Section: Introductionmentioning

confidence: 99%

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Adoption of Blockchain Based Smart Application in Machine Learning

Wankhade¹

2021

IJRASET

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In recent years, the emergence of blockchain technology (BT) has become a novel, most disruptive, and trending technology. The redistributed database in BT emphasizes data security and privacy. Also, the consensus mechanism makes positive that data is secured and bonafide. Still, it raises new security issues like majority attacks and double-spending. To handle the said problems, data analytics is required on blockchain-based secure knowledge. Analytics on these data raises the importance of arising technology Machine Learning (ML). ml involves the rational quantity of data to create precise selections. data reliability and its sharing are terribly crucial in ml to enhance the accuracy of results. the combination of those two technologies (ML and BT) provide give highly precise results. in this paper, present gift a detailed study on ml adoption we BTbased present applications additional resilient against attacks. There area unit varied ancient ML techniques, for example, Support Vector Machines (SVM), clustering, bagging, and Deep Learning (DL) algorithms like Convolutional Neural Network (CNN) and Long STM (LSTM) are often used to analyze the attacks on a blockchain-based network. Further, we tend to embody however each the technologies are often applied in many sensible applications like unmanned Aerial Vehicle (UAV), sensible Grid (SG), healthcare, and sensible cities. Then, future analysis problems and challenges are explored. At last, a case study is presented with a conclusion. Keywords: Blockchain, machine learning, smart grid, data security and privacy, data analytics, smart applications.

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“…The proposed architecture [1] can pave the way for full duplex communications in 5G spectrum. authors illustrate the same for a healthcare unit.…”

Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adoption of Blockchain Based Smart Application in Machine Learning

Wankhade¹

2021

IJRASET

View full text Add to dashboard Cite

show abstract

“…Smart devices are an integrated component of IoT and include various types of communication equipment and peripheral information collectors for data transfer and exchange among smart devices. Various communication technologies such as WiFi and Bluetooth are used for communication in the network nodes [3]. IoT includes a large number of nodes and devices in the network and it is capable of generating a high traffic volume called big data, the processing of which is carried out using cloud computing systems [4].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Pilot Contamination in Massive MIMO Systems for 5G Communication Networks with Butterfly Optimization Algorithm

Altiraiki

Tezel

2022

Politeknik Dergisi

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“…From the past few decades, data has become an essential source of intelligence and carries new opportunities to the real-life problems such as wireless communications, bioinformatics [1], agriculture [2], and finance [3] through smart applications. These applications are data-driven and incorporate actionable insights into user experience, which enables individuals to complete the desired task more efficiently.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward

et al. 2020

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In recent years, the emergence of blockchain technology (BT) has become a unique, most disruptive, and trending technology. The decentralized database in BT emphasizes data security and privacy. Also, the consensus mechanism in it makes sure that data is secured and legitimate. Still, it raises new security issues such as majority attack and double-spending. To handle the aforementioned issues, data analytics is required on blockchain based secure data. Analytics on these data raises the importance of arisen technology Machine Learning (ML). ML involves the rational amount of data to make precise decisions. Data reliability and its sharing are very crucial in ML to improve the accuracy of results. The combination of these two technologies (ML and BT) can provide highly precise results. In this paper, we present a detailed study on ML adoption for making BT-based smart applications more resilient against attacks. There are various traditional ML techniques, for instance, Support Vector Machines (SVM), clustering, bagging, and Deep Learning (DL) algorithms such as Convolutional Neural Network (CNN) and Long short-term memory (LSTM) can be used to analyse the attacks on a blockchain-based network. Further, we include how both the technologies can be applied in several smart applications such as Unmanned Aerial Vehicle (UAV), Smart Grid (SG), healthcare, and smart cities. Then, future research issues and challenges are explored. At last, a case study is presented with a conclusion. INDEX TERMS Blockchain, machine learning, smart grid, data security and privacy, data analytics, smart applications.

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Standardising the use of Duplex Channels in 5G-WiFi Networking for Ambient Assisted Living

Cited by 17 publications

References 8 publications

Adoption of Blockchain Based Smart Application in Machine Learning

Adoption of Blockchain Based Smart Application in Machine Learning

A New Approach to Pilot Contamination in Massive MIMO Systems for 5G Communication Networks with Butterfly Optimization Algorithm

Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward

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