A review of industrial wireless networks in the context of Industry 4.0
By Xiaoming Li, Di Li, Jiafu Wan, Athanasios V. Vasilakos, Chin-Feng Lai, Shiyong Wang. Wireless networks, 2015
512 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/8c53be5e8f461f4f89cae1c78ec60d6ca702be3c
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In Biomedical Engineering
In Computer Networks and Communications
Citations in the corpus
- Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – A literature review (2020, background): “It is the basis for a “network of machines, workers, and systems“ (Zhong et al., 2017) and enables the communication and information exchange between entities in an enterprise (Li et al., 2017; Liu and Xu, 2017), facilitating a „networked and agile value chain” (Schumacher et al., 2016).”
- Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey (2019, background): “Obviously, because of the continuous improvement of data acquisition ability [13], as well as the exponential growth of data volume [14], data-driven methods for health monitoring have achieved great success and received widespread attention regarding the PdM of industrial equipment.”
- Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application (2018, background): “The fourth industrial revolution, Industry 4.0 is characterized by high degree of process automation and digitisation that will increase flexibility and efficiency for manufacturing and service industries [16, 17, 18, 19, 20].”
- Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (2018, background): “Reliability and latency are the core requirements of industrial wireless network communication [41], [42].”
- A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “This has included the adoption and extension of wireless LAN (Wi-Fi) from the original Small-Office-Home-Office scenario also in industrial scenarios [41].”
- Software-Defined Industrial Internet of Things in the Context of Industry 4.0 (2016, unknown): “0 [6], [7].”
- Big data for cyber physical systems in industry 4.0: a survey (2019, methodology): “The captured data include sensor data (Li et al. 2017), system logs (Qun et al. 2015), camera images (Weyer et al. 2015), radio-frequency identi fi cation (RFID) records (Albrecht et al. 2015), GPS data (Gorecky et al. 2014), Enterprise resource planning (ERP) data (Wollschlaeger, Sauter, and…”
- Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal (2017, background): “…Questionnaire Survey (Schmidt, Möhring, et al. 2015), most of them (Shrouf, Ordieres, and Miragliotta 2014; Thoben et al. 2014; Zhan et al. 2015; Li et al. 2015; Janak and Hadas 2015; Leitao et al. 2015; Schmidt, Luder, et al. 2015; Shafiq et al. 2015; Sommer 2015; Wahl 2015; Hozdić 2015;…”
- Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “and wide adoption of wireless local area networks (Wi-Fi) and their interconnection to the Internet, recently expanding from the original Small-Office-Home-Office scenario also in the much more demanding industrial scenarios [147].”