Internet of Things in Industries: A Survey

By Lida Xu, Wu He, Shancang Li. 2014

4,778 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology

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Citations in the corpus

A survey of data fusion in smart city applications (2019, background): “Da Xu et al. [24] Provides an overall view on the current state of the industries for IoT and discusses key enabling technologies such as communication platforms, sensing technologies, and services.”
Digital twin-driven product design, manufacturing and service with big data (2017, methodology): “…and manufacturing, e.g., internet of things technology and devices are employed to collect various data generated in the entire produce lifecycle [2], cloud technology is used to realize the data management and processing [3], and artificial intelligence is used for data mining and realizing…”
Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017, methodology): “design of sensor network in the process industry, a lot of methods that have been developed in the areas of wireless sensor networks, industrial internet, cyber physical systems and internet of things can be referred and employed for utilization [316]–[318].”
A Survey of IoT Applications in Blockchain Systems (2020, methodology): “The traditional IoT architectures are well discussed in previous work [Al-Fuqaha et al. 2015; Da Xu et al. 2014; Said and Masud 2013; Whitmore et al. 2015].”
CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System (2014, background): “The key advantages and challenges for implementing CCIoT-CMfg are given out in Section V, and Section V summarizes the whole paper.”
Internet of Things in the 5G Era: Enablers, Architecture, and Business Models (2016, background): “Such integration magnifies the potential of isolated industrial plants by augmenting their flexibility and manageability, and disclosing the opportunity to deploy new services [8].”
A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard (2018, methodology): “…to be a suitable tool for the manufacturing strategies proposed by different countries (e.g., Industry 4.0 [38], Industrial Internet of Things [39], Made in China 2025 [40] or smart factories [41]), allowing workers to collaborate among them, to interact with real-time information and to…”
A Reconfigurable Smart Sensor Interface for Industrial WSN in IoT Environment (2014, background): ““ IoT ” is all about physical items talking to each other, where machine-to-machine (M2M) communications and person-to-computer communications will be extended to “ things ” [29], [30].”
Internet of Things: An Overview (2017, neutral): “environmental pollution monitoring or traffic safety) [9].”
How Can Heterogeneous Internet of Things Build Our Future: A Survey (2018, background): “Besides, researchers investigate the new technology and issues about IoT that are data fusion and service-oriented framework [40], [41], context awareness techniques [45], [46], cloud computing [43], [44], industrial applications [29], [30], etc.”
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems (2020, background): “However, such measures cannot be directly deployed for IoT/IIoT-based applications without considering their different nature and characteristics [2], [6], [7].”
Security and Privacy in Smart Health: Efficient Policy-Hiding Attribute-Based Access Control (2018, background): “With the rapid development of IoT [3], [4] and cloud computing technologies [5], [6], cloud-based s-health is expected to provide desirable health care in the near future.”
The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey (2015, neutral): “A similar survey focusing on data mining techniques for the IoT are discussed in [6].”