Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Li, Jun; Zhang, Yuwei; Wang, Jing; Cui, Tao; Zhang, Lin; Li, Chao; Chen, Kai; Huang, Huang; Zhou, Xuan; Zhou, Wei; Wang, Zhao; Li, Sun; Xie, Dongqing; Fan, Dahua; Ou, Jianghong; Ou, Jiangtao; Li, Yun; Xiang, Haige; Dube, Kaimeno; Muazu, Abbarbas; Rono, Nakilavai; Tang, Yajuan

doi:10.4108/eetinis.v9i32.1909

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…A feasible scheme is to design the corresponding coexistence strategy of active and passive cooperative transmission for the mobile computing network based on the distributed branch switch-and-stay combining (DSSC) protocol. Specifically, assuming that the active transmission mode is adopted in the previous time slot, the system first checks whether the branch of the active transmission can meet the latency, energy consumption, pricing, and other requirements of the current time slot for the power transmission in the current time slot, given by [26,27] ψ a,J < γ J or ψa,J < γ J ,…”

Section: Feasible Solutions To the Challenges On The Active Transmissionmentioning

confidence: 99%

An Overview on Active Transmission Techniques for Wireless Scalable Networks

Tang

Lai

Zhang

et al. 2022

EAI Endorsed Scal Inf Syst

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Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.

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Section: Feasible Solutions To the Challenges On The Active Transmissionmentioning

confidence: 99%

An Overview on Active Transmission Techniques for Wireless Scalable Networks

Tang

Lai

Zhang

et al. 2022

EAI Endorsed Scal Inf Syst

Self Cite

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“…Let α i,i ′ denote whether the sensory data generated by sensory node i ∈ I is computed and processed at node i ′ ∈ I or not, and β i,i ′ denote whether the computation result of the sensory data computed by node i ∈ I is sent to node i ′ ∈ I or not. Then, we can have [10][11][12],…”

Section: Feasible Solutions To High-energy Efficiency Wireless Transm...mentioning

confidence: 99%

Energy-efficient and high-spectrum-efficiency wireless transmission

Tang¹,

Lai²,

Zhang³

et al. 2022

EAI Endorsed Trans Mob Com Appl

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With the deployment and commercialization of the fifth-generation (5G) mobile communication networks, the access nodes and data volume of wireless networks are showing massive and explosive growth. In this paper, we firstly review the research progress on the energy-efficient and spectrum-efficient wireless transmission, from the perspectives of both latency and energy consumption. We then provide several solutions to high-efficiency wireless transmission for the 5G wireless networks. Finally, we give some discussions about the future road for the design of energy-efficient and spectrum-efficient wireless transmission, which provides some theoretical reference for the system design of wireless networks and Internet of Things (IoT) networks.

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“…where x is the input feature, y is the output of BN, and ϵ is a slight noise. Notations γ and β are learnable parameters [22,23]. Moreover, pooling layers are followed and used to downsample the feature map.…”

Section: Eai Endorsed Transactions On Scalable Information Systems On...mentioning

confidence: 99%

Research on Knowledge Management of Novel Power System Based on Deep Learning

Lin

2022

EAI Endorsed Scal Inf Syst

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With the rapid development of information technology, power system has been developed and applied rapidly. In the power system, fault detection is very important and is one of the key means to ensure the operation of power system. How to effectively improve the ability of fault detection is the most important issue in the research of power system. Traditional fault detection mainly relies on manual daily inspection, and power must be cut off during maintenance, which affects the normal operation of the power grid. In case of emergency, the equipment can not be powered off, which may lead to missed test and bury potential safety hazards. To solve these issues, in this paper, we study the knowledge management based power system by employing the deep learning technique. Specifically, we firstly introduce the data augmentation in the knowledge management based power system and the associated activated functions. We then develop the deep network architecture to extract the local spatial features among the data of the knowledge management based power system. We further provide several training strategies for the data classification in the knowledge management based power system, where the cross entropy based loss function is used. Finally, some experimental results are demonstrated to show the effectiveness of the proposed studies for the knowledge management based power system.

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Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Cited by 11 publications

References 10 publications

An Overview on Active Transmission Techniques for Wireless Scalable Networks

An Overview on Active Transmission Techniques for Wireless Scalable Networks

Energy-efficient and high-spectrum-efficiency wireless transmission

Research on Knowledge Management of Novel Power System Based on Deep Learning

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