Placement of Social Digital Twins at the Edge for Beyond 5G IoT Networks

Chukhno, Olga; Chukhno, Nadezhda; Araniti, Giuseppe; Campolo, Claudia; Molinaro, Antonella

doi:10.1109/jiot.2022.3190737

Cited by 34 publications

(6 citation statements)

References 44 publications

(90 reference statements)

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“…The evaluation of 5G enables edge computing to provide cloud capabilities near the end devices. 120,121 The integration of edge computing with A-IoT contributes to livestock farming applications such as environmental monitoring and control, anomaly detection, animal disease detection, and weight prediction. Alonso et al 122 have proposed an edge−A-IoT-based architecture, GECA (global edge computing architecture), for monitoring livestock and crops.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

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A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

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The rapid growth of human population and frequent changes in environmental conditions pose challenges in providing nutrient-rich food to the current population. The demand for poultry products is increasing exponentially as they are a good source of low-cost proteins. Ensuring the well-being of birds and delivering nutritious poultry products is essential for both current and future food security needs and sustainable agriculture. This article is motivated by the potential of emerging digital technologies in agriculture to provide innovative solutions to challenges faced by farmers, particularly in poultry farming. It aims to shed light on various issues encountered by farmers like diseases on poultry farms and offers valuable insights for researchers seeking to address these challenges using the advancements in digital technologies. Precision farming in poultry involves leveraging technologies such as the internet of things, artificial intelligence, and edge computing to enhance animal health management. A smart poultry farm maintains the farm environment and detects diseases at early stage in the chickens. The farm resources are utilized optimally in the smart poultry farm. This research work provides a systematic literature review of intelligent systems designed for (i) poultry birds' health and welfare management using technologies like the internet of things (IoT), artificial intelligence, cloud computing, and edge computing and (ii) early disease detection, estimation of weight, and feeding behavior of birds with the use of computer vision and vocalization analysis. This article also explores various sensors employed in the development of IoT infrastructure. It has been demonstrated in the literature that modern digital technologies automate the management operations of poultry farms. As a result, the farmer's income increases, and high-quality food products are available to people at low cost.

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Section: Data Analysis Methodsmentioning

confidence: 99%

“…However, significant issues are computational capabilities, storage, and power consumption of edge nodes. The evaluation of 5G enables edge computing to provide cloud capabilities near the end devices. , …”

Section: Role Of Emerging Technologies In Poultry Health Managementmentioning

confidence: 99%

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

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“…However, user mobility, edge server state and computational complexity pose challenges to the dynamic placement of twins. In this regard, the authors of reference [66] model the optimal placement problem for social digital twins as a quadratic allocation problem (QAP) and propose an approximation algorithm and two relaxation techniques to address the challenges of the deployment specifics, IoT device mobility and computational complexity of edge networks.…”

Section: Optimization Of the Placementmentioning

confidence: 99%

A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications

Wu,

Ji,

et al. 2023

Sensors

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With the rapid development of industrial digitalization and intelligence, there is an urgent need to accurately depict the physical world in digital space, and, in turn, regulate and optimize the behavior of physical entities based on massive data collection and analysis. As a technology that combines virtual space and physical space, digital twin can satisfy all of the above needs, and has attracted widespread attention. Due to the promising application prospects of digital twins, both academia and industry have launched research in this field, and related studies have been conducted from different perspectives. Accordingly, some articles summarizing the existing work have also been published, but they are all from a single perspective, lacking a systematic introduction and summary. Based on this, this paper conducts a comprehensive review of the existing work on digital twins from four perspectives: data, model, network and application, and strives to gain a better understanding of the development of the field from the physical to the virtual and back to the physical. Meanwhile, current research challenges and future directions for the development of digital twins are all discussed.

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“…Chukhno et al ( 2022 ) proposed a perfect solution for IoT device mobility that considers the types of devices, edge network implementation details, and their social characteristics to address the dynamic positioning of digital twins with human interaction (Social Digital Twins, SDTs) at the edge. Ding et al ( 2022 ) examined the social and economic implications of the distribution network.…”

Section: Related Workmentioning

confidence: 99%

A novel deep learning-based approach for detecting attacks in social IoT

Das¹,

Kumar

Gopinath

et al. 2023

Soft Comput

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In the innovative concept of the “Social Internet of Things” (IoT), the IoT is combined with social platforms so that inanimate devices can form their interactions with one another. Still, customers have a wary attitude toward this new standard. They worry that their privacy will be invaded and their information will be made public. IoT won't become a frontrunner technology until we have tried true techniques to improve trustworthy connections between nodes. As a result, data privacy becomes extremely difficult, further increasing the difficulty of providing high-quality services and absolute safety. Several articles have attempted to analyze this issue. To categorize safe nodes in the IoT network, they suggested many models based on various attributes and aggregation techniques. In contrast, prior works failed to provide a means of identifying fraudulent nodes or distinguishing between different forms of assaults. To identify attacks carried out by hostile nodes and separate them from the network, we propose a novel Multi-hop Convolutional Neural Network with an attention mechanism (MH-CNN-AM). To achieve the best performance in the suggested research, performance measures including accuracy, precision, recall, F 1-score, and MAE are studied and compared with the of existing methodologies.

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Placement of Social Digital Twins at the Edge for Beyond 5G IoT Networks

Cited by 34 publications

References 44 publications

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications

A novel deep learning-based approach for detecting attacks in social IoT

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