Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges

Das, Sree Krishna; Benkhelifa, Fatma; Sun, Yao; Abumarshoud, Hanaa; Abbasi, Qammer H.; Imran, Muhammad Ali; Mohjazi, Lina

doi:10.1016/j.comnet.2023.109581

Cited by 44 publications

(22 citation statements)

References 229 publications

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“…The choice of materials should reflect the local environment and culture, ensuring that they harmonize with the surroundings. Secondly, the layout of the space must be carefully considered [14]. The use of space should reflect the local lifestyle and customs, creating a comfortable and functional living environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It involves identifying and utilizing the social and natural attributes of resources to maximize their value and minimize waste. By understanding the social and natural characteristics of resources, we can create more sustainable and efficient systems that benefit both the environment and society [14].…”

Section: Excavate Social Attribute and Natural Attribute Promote Reso...mentioning

confidence: 99%

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Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

Sheng

2023

Int. J. Appl. Inf. Manag.

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In recent years, the design market in China for household products has seen a surge in scale and speed. This shift has taken place from a decoration market to a design market. There is now a wide range of styles available for modern home product designs, with Western design styles becoming increasingly popular. However, it has been noticed that some domestic designers have followed the principles of modernism, minimalism, and high-techism, and this has resulted in many designs being created by simple copying of computer-generated designs, without much thought. This approach has led to the loss of the individuality of modern home product design styles. A modern household product design with an elegant taste and extraordinary style is not solely dependent on how much money is spent and how many high-grade decorative materials are used. It is important to combine regional culture with the appropriate use of the elements of modern household product design. It is also essential to create a fully functional, beautiful, generous, and elegant style for indoor environments with limited room space. Regional modern household product design refers to the combination of the local natural environment and cultural environment. It emphasizes local characteristics and national style, and the nationalization of modern household product design and creation tendency. In the design process, local materials and practices should be used as much as possible to display the characteristics of local conditions and merge the overall style with the local environment. To achieve this goal, it is essential to consider the region fully. Regional modern household product design can create a unique and individual design style. The use of local materials and practices will enable the design to reflect the characteristics of the local environment, resulting in a cohesive style. The use of regional culture and local elements will make the design more attractive to potential customers. Therefore, it is necessary to focus on creating a unique style of modern household product design, which combines regional culture with modern design elements.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Excavate Social Attribute and Natural Attribute Promote Reso...mentioning

confidence: 99%

Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

Sheng

2023

Int. J. Appl. Inf. Manag.

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“…In wireless networks, the dynamic nature is a result of various factors including interference, mobility, and fluctuating traffic demands 50 . Through continuous interaction with the environment and policy updates, DRL techniques can effectively adapt to these changes 51 . DRL demonstrates an additional benefit through its capability to learn complex tasks that are difficult to program directly 52 .…”

Section: Literature Reviewmentioning

confidence: 99%

“…50 Through continuous interaction with the environment and policy updates, DRL techniques can effectively adapt to these changes. 51 DRL demonstrates an additional benefit through its capability to learn complex tasks that are difficult to program directly. 52 In wireless networks, many tasks are difficult to optimize through traditional methods, such as load balancing and spectrum management.…”

Section: Introduction To Drl Algorithms and Their Potential For Solvi...mentioning

confidence: 99%

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

Khani,

Jamali,

Sohrabi

et al. 2023

Trans Emerging Tel Tech

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This paper reviews recent research on resource allocation in 5G cloud‐based radio access networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the potential of DRL for learning complex decision‐making policies without human intervention. The paper first introduces the C‐RAN architecture and resource allocation concepts, followed by an overview of DRL algorithms applied to C‐RAN. It discusses the challenges and potential solutions in applying DRL to C‐RAN resource allocation, including scalability, convergence, and fairness. The review concludes by highlighting open research directions for future investigation. By providing insights into the state‐of‐the‐art techniques for resource allocation in 5G C‐RAN using DRL, this paper emphasizes their potential impact on advancing 5G network technology.

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“…Traditional approaches to DDoS attack detection are often ineffective in the face of modern, sophisticated attacks, which require more advanced and adaptive techniques 21–23 . Hence, the demand for machine learning‐based methods to tackle DDoS attacks is growing 24,25 .…”

Section: Introductionmentioning

confidence: 99%

An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization

Setitra

Fan

Bensalem

2023

Trans Emerging Tel Tech

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The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT) has led to the emergence of Software Defined Internet of Things (SDIoT) based on centralized network management by the Control Plane, which can handle the dynamic nature of IoT devices and the high volume of network traffic. However, due to their specific design, SDIoTs are the ideal target for Distributed Denial of Service (DDoS) attacks, becoming one of the most destructive threats. Machine learning (ML) techniques are best suited to solve this problem due to the recent growth and sophistication of DDoS attacks. In this study, we propose an enhanced deep learning approach based on combining AutoEncoder (AE) and Extreme Gradient Boosting (XGBoost). First, we applied the SHapley Additive exPlanations (SHAP) feature selection method to select the appropriate features subset according to their correlation results. Next, the AE is trained on the previous subset to learn a compact representation of the input features. The latent representation generated by the AE is then used as input for the XGBoost model, which is trained to predict the target variable and classify the traffic as usual or attack. In parallel, Grid Search Cross Validation (GSCV) is used to find the optimal hyperparameters for the AE‐XGBoost. The experimental results using two publicly available realistic SDN‐Iot datasets demonstrate that the proposed approach enables precise identification of DDoS attacks in SDIoT networks, achieving a 99.9920% accuracy, an F1 score of 0.999917, and a low false positive rate. Furthermore, the proposed model's performance exceeds that of the models used for comparison.

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Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges

Cited by 44 publications

References 229 publications

Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization

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