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IEEE Internet of Things Journal Publication Information
Year: 2022 | Volume: 9 | Issue: 18
Special Issue on Knowledge- and Service-Oriented Industrial Internet of Things: Architectures, Challenges, and Methodologies
Dapeng Wu;Shaoen Wu;Danda B. Rawat;Paulo R. L. Gondim;Periklis Chatzimisios;Jinbo Xiong
Publication Year: 2022,Page(s):16738 - 16741
Cited by: Papers (1)
Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System Based on Deep Reinforcement Learning
Publication Year: 2022,Page(s):16742 - 16757
Cited by: Papers (41)
Edge computing (EC) extends the ability of cloud computing to the network edge to support diverse resource-sensitive and performance-sensitive IoT applications. However, due to the limited capacity of edge servers (ESs) and the dynamic computing requirements, the system needs to dynamically update the task allocation policy according to real-time system states. Service migration is essential to en...Show More
Traffic-Aware Transmission Strategy of Fog Cell in Green Industrial Internet
Peng Yang;Jing Hou;Hong Zhang;Puning Zhang;Ruyan Wang;Zhidu Li
Publication Year: 2022,Page(s):16758 - 16769
Cited by: Papers (1)
In Industrial Internet application scenarios, due to the ubiquitous connection requirements of the massive Internet of Things (IoT) devices in the edge layer. The data transmission rate is reduced, and the transmission delay increases, increasing the transmission energy consumption per bit. So a low-energy transmission strategy based on real-time edge layer traffic sensing is proposed. First, a mi...Show More
Multiagent Cooperative Caching Policy in Industrial Internet of Things
Publication Year: 2022,Page(s):16770 - 16779
Cited by: Papers (11)
To handle the impact of the explosive growth of data traffic generated by smart industrial applications in the Industrial Internet of Things (IIoT) scenario, edge caching is commonly used in the IIoT to reduce the content access delay and to release the backhaul load. However, due to the mobility of IIoT devices and temporal dependence of popularity, traditional content caching policies, such as l...Show More
Multiagent Cooperative Caching Policy in Industrial Internet of Things
Year: 2022 | Volume: 9 | Issue: 18
Identification and Resolution for Industrial Internet: Architecture and Key Technology
Publication Year: 2022,Page(s):16780 - 16794
Cited by: Papers (39)
As a key component of Industrial Internet, identification and resolution has been considered as a promising technology to realize the interconnections among physical and virtual entities and to promote interoperability of digital objects, which improves the industrial efficiency and transparency of the supply chain. In this article, we focus on the identification and resolution design in the Indus...Show More
Achieving Privacy-Preserving Multitask Allocation for Mobile Crowdsensing
Publication Year: 2022,Page(s):16795 - 16806
Cited by: Papers (20)
In the mobile crowdsensing (MCS) with large-scale data collection and sharing environments, since a growing number of applications need to exploit multisource sensing information, it is almost indispensable to develop a generic mechanism supporting efficient and accurate multiple tasks allocation. Meanwhile, achieving the maximum service benefit, the cloud server allocates the multitask based on t...Show More
Secure IoT Search Engine: Survey, Challenges Issues, Case Study, and Future Research Direction
William Grant Hatcher;Cheng Qian;Fan Liang;Weixian Liao;Erik P. Blasch;Wei Yu
Publication Year: 2022,Page(s):16807 - 16823
Cited by: Papers (8)
The Internet of Things (IoT) encompasses a near-incalculable collection of dispersed and embedded computing devices acting as sensors and actuators, generating data at an incredible scale. However, a lack of coherency and cross-compatibility in IoT deployments has lead to increasing redundancy and waste of resources. To combat this, various concepts have been proposed for an open IoT search engine...Show More
Ultrashort-Term Heat Load Prediction for Heat Exchange Stations Based on Dual-Source Data Feature Fusion
Publication Year: 2022,Page(s):16824 - 16834
Cited by: Papers (1)
Accurate load prediction plays a vital role in the field of district heating. However, it is challenging to establish an accurate mathematical model for heat load prediction because of the technical characteristics of heating systems, such as their large-scale, multidimensional, long delay, strong coupling, time-varying, and nonlinear characteristics. This article proposes a heat load prediction m...Show More
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
Publication Year: 2022,Page(s):16835 - 16849
Cited by: Papers (41)
Due to the diverse equipment and uneven load distribution in industrial environments, data regarding faults are often unbalanced. Moreover, data and models from clients may become contaminated or damaged, affecting diagnostic performance. To overcome these problems, this study proposes a stacking model for diagnosing interturn short circuit (ITSC) faults in permanent magnet synchronous motors (PMS...Show More
TEGRAS: An Efficient Tegra Embedded GPU-Based RSA Acceleration Server
Jiankuo Dong;Guang Fan;Fangyu Zheng;Tianyu Mao;Fu Xiao;Jingqiang Lin
Publication Year: 2022,Page(s):16850 - 16861
Cited by: Papers (1)
Industrial Internet of Things (IIoT) has strict requirements on the performance and security of devices. Public-key cryptography, as a kind of computing resource-consuming algorithm, is widely used in the digital signature, key exchange, and so on. The embedded graphics processing units (GPUs) are now rapidly achieving extraordinary computing power, such as NVIDIA Tegra K1/X1/X2/Xavier, which are ...Show More
High-Efficiency PCSK-CFFH System Design for IoT Networks
Publication Year: 2022,Page(s):16862 - 16873
Cited by: Papers (3)
Industrial Internet of Things (IIoT) brings opportunities for innovation and upgrading to industrial production, but meanwhile, it poses unprecedented challenges on the physical layer of wireless communications. In this article, we propose a novel frequency hopping transmission scheme for IIoT, which owns much high efficiency and strong anti-jamming ability. This new scheme is built based on the c...Show More
Deep-Reinforcement-Learning-Based Resource Allocation for Content Distribution in Fog Radio Access Networks
Chao Fang;Hang Xu;Yihui Yang;Zhaoming Hu;Shanshan Tu;Kaoru Ota;Zheng Yang;Mianxiong Dong;Zhu Han;F. Richard Yu;Yunjie Liu
Publication Year: 2022,Page(s):16874 - 16883
Cited by: Papers (49)
With the rapid development of wireless communication technologies, the emerging multimedia applications make mobile Internet traffic grow explosively while putting forward higher service requirements for the next-generation wireless networks. Therefore, how to achieve low-latency content transmission by effectively allocating heterogeneous network resources to improve the network quality of servic...Show More
Temporal Computing Resource Allocation Scheme With End Device Assistance
Publication Year: 2022,Page(s):16884 - 16896
Cited by: Papers (3)
With the development of the Industrial Internet of Things (IIoT) and edge computing technology, edge servers have been used to allocate computing resources to IIoT devices for alleviating the huge computing needs of IIoT applications. Aiming at the problems of unbalanced distribution and inefficient use of computing resources during computing resource allocation, we propose a temporal computing re...Show More
Temporal Computing Resource Allocation Scheme With End Device Assistance
Year: 2022 | Volume: 9 | Issue: 18
Information Dissemination With Service-Oriented Incentive Mechanism in Industrial Internet of Things
Publication Year: 2022,Page(s):16897 - 16907
Cited by: Papers (9)
As one of the essential paradigms of Industrial 4.0, the Industrial Internet of Things (IIoT) challenges existing data management and information services by supporting computational-intensive applications, in which devices share and receive information through interactions under resource constraints. When there exist diverse service requirements of IIoT applications, information dissemination wil...Show More
Robust End Hopping for Secure Satellite Communication in Moving Target Defense
Publication Year: 2022,Page(s):16908 - 16916
Cited by: Papers (10)
Satellite communication contributes tremendously to the Industrial Internet of Things (IIoT) with telecommunication efficiency and data accessibility at global-scale coverage. However, realizing proactive defense for satellite communication remains a challenge. In order to address such an issue, we first explore state-of-the-art proactive defense methods and, following next, a step forward on prop...Show More
Secure, Efficient, and Weighted Access Control for Cloud-Assisted Industrial IoT
Qi Li;Qianqian Zhang;Haiping Huang;Wei Zhang;Wei Chen;Huaqun Wang
Publication Year: 2022,Page(s):16917 - 16927
Cited by: Papers (23)
In the cloud-assisted Industrial Internet of Things (IIoT), ciphertext-policy attribute-based encryption (CP-ABE) could help the data owner (DO) share his sensitive data via the cloud under self-defined access structures. Among general CP-ABE schemes, the decryption overhead, the key generation cost, and the ciphertext length increase with the number of involved attributes. Additionally, only regu...Show More
Blockchain-Assisted Distributed and Lightweight Authentication Service for Industrial Unmanned Aerial Vehicles
Publication Year: 2022,Page(s):16928 - 16940
Cited by: Papers (58)
Unmanned aerial vehicles (UAVs) have shown great potential in benefiting industries due to their good features, such as the ease of deployment and low maintenance cost. However, the communication security issue remains a serious challenge before the large-scale application of industrial UAVs. The untrusted communication environment can cause the leakage of valuable industrial data or the losing of...Show More
Edge Caching Enhancement for Industrial Internet: A Recommendation-Aided Approach
Publication Year: 2022,Page(s):16941 - 16952
Cited by: Papers (33)
Edge caching enables low-delay and high-quality data services for the Industrial Internet. However, traditional popularity-based edge caching ignores the diversity and evolution of user interest, especially among user groups, and therefore has the limited quality of experience guarantees for users. In this regard, a recommendation-aided edge caching approach is proposed to leverage the time-varyin...Show More
Deep Reinforcement Learning for Intelligent Service Provisioning in Software-Defined Industrial Fog Networks
Publication Year: 2022,Page(s):16953 - 16961
Cited by: Papers (9)
Fog computing has become a promising technology to improve the performance of low-powered Industrial Internet of Things (IIoT) devices by providing flexible and convenient computing services at the edge of the network with minimum delay. However, due to the ever-increasing traffic load in the network, the traditional service provisioning strategies can pose high complexity as well as network conge...Show More
Cross-Layer Optimization for Industrial Internet of Things in NOMA-Based C-RANs
Jie Tang;Yanfei Zhao;Wanmei Feng;Xiaolan Zhao;Xiu Yin Zhang;Mingqian Liu;Kai-Kit Wong
Publication Year: 2022,Page(s):16962 - 16975
Cited by: Papers (5)
This article investigates nonorthogonal multiple access (NOMA)-based cloud radio access networks (C-RANs), where edge caching is adopted to cut down the crowdedness of the fronthaul links. We aim to maximize the energy efficiency (EE) by jointly optimizing the power allocation, analog, and digital precoding, which turns out to be an intractable nonconvex optimization problem. To tackle this proble...Show More
RFID Tag Localization With a Sparse Tag Array
Publication Year: 2022,Page(s):16976 - 16989
Cited by: Papers (14)
With the rapid growth of the Internet of Things (IoT), the radio-frequency identification (RFID) technology has been recognized as an effective and low-cost solution for many IoT applications. In this article, we study the problem of utilizing a sparse RFID tag array for backscatter indoor localization. We first theoretically and experimentally validate the feasibility of using sparse tag arrays f...Show More
Privacy-Preserving Threshold Spatial Keyword Search in Cloud-Assisted IIoT
Yutao Yang;Yinbin Miao;Zuobin Ying;Jianting Ning;Xiangdong Meng;Kim-Kwang Raymond Choo
Publication Year: 2022,Page(s):16990 - 17001
Cited by: Papers (12)
Cloud-assisted Industrial Internet of Things (IIoT) systems are increasingly deployed in various applications such as location-based services. Outsourcing data to cloud servers can help minimize local data storage and computation overheads, but it may introduce security and privacy concerns. Therefore, privacy-preserving spatial keyword search has been extensively explored in the literature. Howev...Show More
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