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Future Internet, Volume 14, Issue 9

2022 September - 25 articles

Cover Story: Here, reinforcement learning (RL) is proposed in an IRS-assisted D2D underlay cellular network where D2D pairs opportunistically use a licensed cellular spectrum. The objective is to maximize network spectrum efficiency by jointly optimizing the resource reuse indicators, the transmit power of both cellular and D2D users, and the IRS reflection coefficients. This is carried out under strict SINR constraints to ensure the QoS for both cellular and D2D links is met. The RL approach proves efficient to solve this mixed integer non-convex nonlinear optimization problem. A scalable deep Q-learning solution with experience replay and an A2C-based deep deterministic policy gradient (DDPG) are proposed to learn the optimal policy. Simulation outcomes reveal significant sum rate enhancement. View this paper
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Articles (25)

  • Article
  • Open Access
24 Citations
4,227 Views
17 Pages

Low Power Blockchained E-Vote Platform for University Environment

  • Faten Chaabane,
  • Jalel Ktari,
  • Tarek Frikha and
  • Habib Hamam

19 September 2022

With the onset of the COVID-19 pandemic and the succession of its waves, the transmission of this disease and the number of deaths caused by it have been increasing. Despite the various vaccines, the COVID-19 virus is still contagious and dangerous f...

  • Article
  • Open Access
5 Citations
2,952 Views
18 Pages

17 September 2022

Video streaming solutions have increased their importance in the last decade, enabling video on demand (VoD) services. Among several innovative services, 5G and Beyond 5G (B5G) systems consider the possibility of providing VoD-based solutions for sur...

  • Article
  • Open Access
6 Citations
3,151 Views
21 Pages

An Efficient Blockchain Transaction Retrieval System

  • Hangwei Feng,
  • Jinlin Wang and
  • Yang Li

15 September 2022

In the era of the digital economy, blockchain has developed well in various fields, such as finance and digital copyright, due to its unique decentralization and traceability characteristics. However, blockchain gradually exposes the storage problem,...

  • Article
  • Open Access
10 Citations
3,078 Views
18 Pages

15 September 2022

This research was aimed at designing an image recognition system that can help increase children’s interest in learning natural numbers between 0 and 9. The research method used was qualitative descriptive, observing early childhood learning in...

  • Review
  • Open Access
26 Citations
8,645 Views
30 Pages

Approaches and Challenges in Internet of Robotic Things

  • Aqsa Sayeed,
  • Chaman Verma,
  • Neerendra Kumar,
  • Neha Koul and
  • Zoltán Illés

14 September 2022

The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthc...

  • Article
  • Open Access
23 Citations
8,009 Views
27 Pages

A VPN Performances Analysis of Constrained Hardware Open Source Infrastructure Deploy in IoT Environment

  • Antonio Francesco Gentile,
  • Davide Macrì,
  • Floriano De Rango,
  • Mauro Tropea and
  • Emilio Greco

13 September 2022

Virtual private network (VPN) represents an HW/SW infrastructure that implements private and confidential communication channels that usually travel through the Internet. VPN is currently one of the most reliable technologies to achieve this goal, al...

  • Article
  • Open Access
6 Citations
2,234 Views
15 Pages

Trade-offs between Risk and Operational Cost in SDN Failure Recovery Plan

  • Saeed A. Astaneh,
  • Shahram Shah Heydari,
  • Sara Taghavi Motlagh and
  • Alireza Izaddoost

13 September 2022

We consider the problem of SDN flow optimization in the presence of a dynamic probabilistic link failures model. We introduce a metric for path risk, which can change dynamically as network conditions and failure probabilities change. As these probab...

  • Article
  • Open Access
5 Citations
3,261 Views
18 Pages

Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs

  • Renaud Fabre,
  • Otmane Azeroual,
  • Patrice Bellot,
  • Joachim Schöpfel and
  • Daniel Egret

7 September 2022

The variety and diversity of published content are currently expanding in all fields of scholarly communication. Yet, scientific knowledge graphs (SKG) provide only poor images of the varied directions of alternative scientific choices, and in partic...

  • Article
  • Open Access
1 Citations
2,807 Views
12 Pages

31 August 2022

Aiming at the resource allocation problem of a non-orthogonal multiple access (NOMA) system, a fairness index based on sample variance of users’ transmission rates is proposed, which has a fixed range and high sensitivity. Based on the proposed...

  • Article
  • Open Access
20 Citations
3,621 Views
15 Pages

Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods

  • Viera Maslej-Krešňáková,
  • Martin Sarnovský and
  • Júlia Jacková

31 August 2022

The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or probl...

  • Article
  • Open Access
4 Citations
4,063 Views
17 Pages

30 August 2022

Facial Expression Recognition (FER) can achieve an understanding of the emotional changes of a specific target group. The relatively small dataset related to facial expression recognition and the lack of a high accuracy of expression recognition are...

  • Systematic Review
  • Open Access
61 Citations
7,309 Views
31 Pages

30 August 2022

With the effects of climate change such as increasing heat, higher rainfall, and more recurrent extreme weather events including storms and floods, a unique approach to studying the effects of climatic elements on groundwater level variations is requ...

  • Article
  • Open Access
2,403 Views
23 Pages

29 August 2022

There is no well-defined utility function for existing multipath TCP algorithms. Therefore, network utility maximization (NUM) for MPTCP is a complex undertaking. To resolve this, we develop a novel condition under which Kelly’s NUM mechanism m...

  • Article
  • Open Access
24 Citations
4,138 Views
18 Pages

29 August 2022

Recently, the growing demand of various emerging applications in the realms of sixth-generation (6G) wireless networks has made the term internet of Things (IoT) very popular. Device-to-device (D2D) communication has emerged as one of the significant...

  • Article
  • Open Access
20 Citations
6,024 Views
15 Pages

28 August 2022

The development of Industry 4.0 revolutionising the concept of automation and digitisation in an organisation poses a huge challenge in employee knowledge and skills to cope with the huge leap from Industry 3.0. The high-level digitisation of an orga...

  • Article
  • Open Access
13 Citations
2,768 Views
16 Pages

Framework for Video Steganography Using Integer Wavelet Transform and JPEG Compression

  • Urmila Pilania,
  • Rohit Tanwar,
  • Mazdak Zamani and
  • Azizah Abdul Manaf

25 August 2022

In today’s world of computers everyone is communicating their personal information through the web. So, the security of personal information is the main concern from the research point of view. Steganography can be used for the security purpose...

  • Article
  • Open Access
29 Citations
10,857 Views
17 Pages

Translating Speech to Indian Sign Language Using Natural Language Processing

  • Purushottam Sharma,
  • Devesh Tulsian,
  • Chaman Verma,
  • Pratibha Sharma and
  • Nancy Nancy

25 August 2022

Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using a language known as sign language. Every country has a different sign language which is based o...

  • Article
  • Open Access
14 Citations
3,403 Views
23 Pages

Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach

  • Mst. Shapna Akter,
  • Hossain Shahriar,
  • Reaz Chowdhury and
  • M. R. C. Mahdy

25 August 2022

Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named “volatility”, which indicates the market’s risk and as...

  • Article
  • Open Access
14 Citations
5,495 Views
19 Pages

Leveraging Explainable AI to Support Cryptocurrency Investors

  • Jacopo Fior,
  • Luca Cagliero and
  • Paolo Garza

24 August 2022

In the last decade, cryptocurrency trading has attracted the attention of private and professional traders and investors. To forecast the financial markets, algorithmic trading systems based on Artificial Intelligence (AI) models are becoming more an...

  • Article
  • Open Access
109 Citations
7,394 Views
20 Pages

Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture

  • Rajasekhar Chaganti,
  • Vijayakumar Varadarajan,
  • Venkata Subbarao Gorantla,
  • Thippa Reddy Gadekallu and
  • Vinayakumar Ravi

24 August 2022

The Internet of Things (IoT) has rapidly progressed in recent years and immensely influenced many industries in how they operate. Consequently, IoT technology has improved productivity in many sectors, and smart farming has also hugely benefited from...

  • Article
  • Open Access
22 Citations
4,033 Views
14 Pages

24 August 2022

This research considers the problem of digital twin engineering in organizational and technical systems. The theoretical and methodological basis is a fundamental scientific work in the field of digital twins engineering and applied models. We use me...

  • Article
  • Open Access
8 Citations
4,943 Views
18 Pages

Determining the Role of Social Identity Attributes to the Protection of Users’ Privacy in Social Media

  • Katerina Vgena,
  • Angeliki Kitsiou,
  • Christos Kalloniatis and
  • Stefanos Gritzalis

24 August 2022

Drawing on digital identity theories, social software engineering theory (SSE), and the Privacy Safeguard (PriS) methodology, we examined the way that personal information uploaded on social media (SM) imposes privacy issues. Throughout a review on u...

  • Article
  • Open Access
9 Citations
2,878 Views
16 Pages

24 August 2022

The main challenge of the health risk assessment of the aerosol transport and deposition to the lower airways is the high computational cost. A standard large-scale airway model needs a week to a month of computational time in a high-performance comp...

  • Review
  • Open Access
68 Citations
8,148 Views
22 Pages

23 August 2022

Federated learning (FL) is a cutting-edge artificial intelligence approach. It is a decentralized problem-solving technique that allows users to train using massive data. Unprocessed information is stored in advanced technology by a secret confidenti...

  • Review
  • Open Access
9 Citations
4,602 Views
11 Pages

Artificial Intelligence in Adaptive and Intelligent Educational System: A Review

  • Jingwen Dong,
  • Siti Nurulain Mohd Rum,
  • Khairul Azhar Kasmiran,
  • Teh Noranis Mohd Aris and
  • Raihani Mohamed

23 August 2022

There has been much discussion among academics on how pupils may be taught online while yet maintaining a high degree of learning efficiency, in part because of the worldwide COVID-19 pandemic in the previous two years. Students may have trouble focu...

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Future Internet - ISSN 1999-5903