Community-Oriented Multimedia Content Maximization Mechanism in Social Internet of Things

He, Peng; Tang, Tong

doi:10.1109/access.2020.2970453

Cited by 15 publications

(3 citation statements)

References 25 publications

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“…Consequently, a transformative architecture is imperative to address these challenges within the IoT landscape. Integrating social aspects into the IoT framework has given rise to the concept of Social Internet of Things (SIoT) [2,3].…”

Section: Introductionmentioning

confidence: 99%

Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

Hosseinzadeh,

Mohammadi,

Lansky

et al. 2024

Mathematics

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This study conducts an in-depth review of the Social Internet of Things (SIoT), a significant advancement from the conventional Internet of Things (IoT) via the integration of socialization principles akin to human interactions. We explore the architecture, trust management, relationship dynamics, and other crucial aspects of SIoT, with a particular focus on the relatively neglected areas of fault tolerance, cloud–fog computing, and clustering. Our systematic literature analysis, spanning research from 2011 to April 2023, uncovers critical gaps and establishes a detailed taxonomy of emerging SIoT themes. This paper not only sheds light on the current state of SIoT research but also charts a course for future exploration and development in this burgeoning field.

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Section: Introductionmentioning

confidence: 99%

Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

Hosseinzadeh,

Mohammadi,

Lansky

et al. 2024

Mathematics

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show abstract

“…HE advancement of internet technology in recent years has promoted the rapid development of Social Internet of Things (SIoT) [1][2][3][4][5][6], which is a concept proposed through the combination of social networks [7][8][9] and Internet of Things (IoT) [10][11][12]. 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.…”

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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“…Nowadays, Wireless Sensor Network (WSN) has been widely used in monitoring, controlling, tracking and other fields based on its sensing, computing and communication capabilities [ 1 ]. In order to help realize the utilization potentiality of the Internet of Things (IoT), the WSN virtualization architecture is emerging to overcome the inefficiencies of proprietary, single-purpose, single-user WSNs [ 2 , 3 ]. Driven by the developing needs of the IoT, the 5G mMTC scenario should deploy a huge number of sensors [ 4 , 5 , 6 ], while the traditional WSN in the public area is generally laid separately by each user for his specific task, which is unavailable for other users even if the state of WSN is idle.…”

Section: Introductionmentioning

confidence: 99%

Survivability-Enhanced Virtual Network Embedding Strategy in Virtualized Wireless Sensor Networks

Wang

Liu

Yang

et al. 2020

Sensors

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With the widespread application of wireless sensor networks (WSNs), WSN virtualization technology has received extensive attention. A key challenge in WSN virtualization is the survivable virtual network embedding (SVNE) problem which efficiently maps a virtual network on a WSN accounting for possible substrate failures. Aiming at the lack of survivability research towards physical sensor node failure in the virtualized sensor network, the SVNE problem is mathematically modeled as a mixed integer programming problem considering resource constraints. A heuristic algorithm—node reliability-aware backup survivable embedding algorithm (NCS)—is further put forward to solve this problem. Firstly, a node reliability-aware embedding method is presented for initial embedding. The resource reliability of underlying physical sensor nodes is evaluated and the nodes with higher reliability are selected as mapping nodes. Secondly, a fault recovery mechanism based on resource reservation is proposed. The critical virtual sensor nodes are recognized and their embedded physical sensor nodes are further backed up. When the virtual sensor network (VSN) fails caused by the failure physical node, the operation of the VSN is restored by backup switching. Finally, the experimental results show that the strategy put forward in this paper can effectively guarantee the survivability of the VSN, reduce the failure penalty caused by the physical sensor nodes failure, and improve the long-term operating income of infrastructure provider.

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Community-Oriented Multimedia Content Maximization Mechanism in Social Internet of Things

Cited by 15 publications

References 25 publications

Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

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

Survivability-Enhanced Virtual Network Embedding Strategy in Virtualized Wireless Sensor Networks

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