SDIF: Social device interaction framework for encounter and play in smart home service

Kang, Dong‐oh; Choi, Jaehyouk; Jung, Joon-Young; Kang, Kyuchang; Bae, Changseok

doi:10.1109/tce.2016.7448567

Cited by 10 publications

(2 citation statements)

References 21 publications

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“…Technical models can also developed for enterprise management; for example, considering various heterogeneous sensor networks, Qiu et al [54] established the small-world network topology model of SIOT, in order to ensure the normal operations of the data nodes. Kang et al [55] have proposed the SDIF framework, which makes collaboration between devices easier by providing social relationships between devices. Lee et al [56] have combined the analysis of social networks and the social attributes of devices to realize information sharing between devices.…”

Section: Literature Analysismentioning

confidence: 99%

The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile

Dou

Sun

Wu³

et al. 2021

IJGI

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In the era of big data, mass customization (MC) systems are faced with the complexities associated with information explosion and management control. Thus, it has become necessary to integrate the mass customization system and Social Internet of Things, in order to effectively connecting customers with enterprises. We should not only allow customers to participate in MC production throughout the whole process, but also allow enterprises to control all links throughout the whole information system. To gain a better understanding, this paper first describes the architecture of the proposed system from organizational and technological perspectives. Then, based on the nature of the Social Internet of Things, the main technological application of the mass customization–Social Internet of Things (MC–SIOT) system is introduced in detail. On this basis, the key problems faced by the mass customization–Social Internet of Things system are listed. Our findings are as follows: (1) MC–SIOT can realize convenient information queries and clearly understand the user’s intentions; (2) the system can predict the changing relationships among different technical fields and help enterprise R&D personnel to find technical knowledge; and (3) it can interconnect deep learning technology and digital twin technology to better maintain the operational state of the system. However, there exist some challenges relating to data management, knowledge discovery, and human–computer interaction, such as data quality management, few data samples, a lack of dynamic learning, labor consumption, and task scheduling. Therefore, we put forward possible improvements to be assessed, as well as privacy issues and emotional interactions to be further discussed, in future research. Finally, we illustrate the behavior and evolutionary mechanism of this system, both qualitatively and quantitatively. This provides some idea of how to address the current issues pertaining to mass customization systems.

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Section: Literature Analysismentioning

confidence: 99%

The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile

Dou

Sun

Wu³

et al. 2021

IJGI

View full text Add to dashboard Cite

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“…The attributes of social networks are introduced into the IoT to establish relationships between things-things, things-people, and people-people, so as to realize the connection, service, and application of the IoT. Examples of this include establishing a social network between vehicles to achieve information sharing between them [13][14][15] and establishing a social network between mobile phones, computers, smart home appliances, and other devices to realize information release between devices [16,17]. The communication between things-things, things-people, and people-people in the SIoT generates a variety of information.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Edge Collaboration Dynamics Information Dissemination Model for Social Internet of Things

Zhang

Zou

Pan

2023

IEEE Trans. Netw. Sci. Eng.

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Studying the mechanism of information dissemination in Social Internet of Things (SIoT) has practical significance for real-time information control and scientific management decision-making in real world. Aiming at the problem of how to realize the information interaction between people, people and things, and things and things in SIoT, we propose a cloud-edge collaborative dynamic information dissemination model (CCDIDM) for SIoT. Firstly, considering the interactive influence of information dissemination between individual users, between IoT devices, and between users and devices, the coupling relationship between nodes is established. Based on the theory of dissemination dynamics, the information propagation process between coupled nodes of SIoT is analyzed, and the efficient interactive dissemination of information is simulated. Theoretical analysis of the model is carried out, and the information dissemination threshold and the stability of the equilibrium point are deduced. Simulation results are consistent with the theoretical analysis, demonstrating that CCDIDM can describe information dissemination. Simultaneously, it was found that, stronger the perception awareness of individual users, smaller the scale of information dissemination. In addition, the influence of various parameters on the scale of information dissemination is verified. Adjusting the size of such parameters can promote or inhibit the dissemination of information.

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Real-Time Data Analytics in Internet of Things Systems

Wang

2022

Handbook of Real-Time Computing

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SDIF: Social device interaction framework for encounter and play in smart home service

Cited by 10 publications

References 21 publications

The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile

The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile

Cloud-Edge Collaboration Dynamics Information Dissemination Model for Social Internet of Things

Real-Time Data Analytics in Internet of Things Systems

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