The DOI matches its Crossref record.
Advanced Industrial Wireless Sensor Networks and Intelligent IoT
Abstract
Examines the market for wireless sensor networks in the era and expansion of the Internet of Things. Over the past decade, the fast expansion of the Internet of Things (IoT) paradigm and wireless communication technologies has raised many scientific and engineering challenges that call for ingenious research efforts from both academia and industry. The IoT paradigm now covers several technologies beyond RFID and wireless sensor networks (WSNs). In fact, the number of potential application fields has already exceeded expectations. According to Cisco IBSG, more than 50 billion devices are expected to be connected to the Internet by 2020, with around 20 percent from the industry sector. Therefore, integrating the IoT concept and industrial WSNs (IWSNs) is an attractive choice for industrial processes, which may optimize operational efficiency, automation, maintenance, and rationalization. Moreover, IoT ensures large-scale interconnection between machines, computers, and people, enabling intelligent industrial operations. This emergent technological evolution has led to what has become the Industrial IoT (IIoT). IIoT will bring promising opportunities, along with new challenges.
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Xiao et al. constructed an attack model of the IoT system and reviewed AI-enhanced IoT security policies focusing on machine learning in IoT authentication, access control, task offloading, malware detection, and data privacy protection.
“XIAO et al. [106] constructed an attack model of the IoT system and reviewed AI-enhanced IoT security policies, focusing on the status of research on machine learning in IoT authentication, access control, task offloading, malware detection and data privacy protection.”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [106]
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172
Metadata
- Authors
- Boubiche, D. E., Pathan, A.-S. K., Lloret, J., Zhou, H., Hong, S., Amin, S. O., & Feki, M. A.
- Affiliations
- University of Batna 2 (DZ)
- Southeast University (BD)
- Queen's University Belfast (GB)
- Amazon (United States) (US)
- Huawei Technologies (United States) (US)
- Venue
- IEEE Communications Magazine
- Published
- 2018-02
- Volume
- 56
- Issue
- 2
- Pages
- 14-15
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2787388934
- Cited by
- 73
- References
- 0
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2023: 8 · 2022: 11 · 2021: 14 · 2020: 16 · 2019: 17 · 2018: 1
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Magazine (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- industrial wireless sensor networks, Internet of Things, Industrial Internet of Things, IoT market, industrial automation, machine-to-machine communication, RFID, operational efficiency
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