The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
5G Enabled Codesign of Energy-Efficient Transmission and Estimation for Industrial IoT Systems
Abstract
In industrial automation, the state of process control could be monitored by spatially distributed sensors and 5G machine-type communication (MTC) enabled industrial Internet of things (IIoT). Thus, ultra-reliable MTC and high-accurate state estimation play important roles for ensuing system stabilization. However, it is challenging due to complex industrial wireless environments and limited communication resources. To address this issue, this paper first presents a transmission-estimation codesign framework to lay down the foundation for guaranteeing the prescribed estimation accuracy with limited communication resources. Under this framework, a hierarchical transmission-estimation approach is proposed to improve the transmission reliability and estimation accuracy according to system dynamics. The proposed approach is then optimized by formulating a constrained minimization problem, which is mixed integer nonlinear programming and solved efficiently with a block-coordinate-descent-based decomposition method. Finally, simulation results demonstrate that the proposed approach has superiorities in improving both the estimation accuracy and the energy efficiency.
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“According to the Cisco, up to 500 billion devices are expected to be connected to the IoT by 2030 (Egham, 2017;Lyu et al., 2018;CISCO, 2016).”
From Future Industry Internet of Things with Zero-trust Security (2024) · cites this paper as Lyu et al., 2018
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Research works printed but not linked: 1
- molisch, 2004, IEEE 802.15. 4a channel model—Final report, IEEE
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Sorted by citations
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018) · IEEE Access · doi:10.1109/access.2018.2884906 · Cited by 637
Future Industry Internet of Things with Zero-trust Security
Li, S., Iqbal, M., & Saxena, N. (2024) · Information Systems Frontiers · doi:10.1007/s10796-021-10199-5 · Cited by 128
Metadata
- Authors
- Lyu, L., Chen, C., Zhu, S., & Guan, X.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2018-06
- Volume
- 14
- Issue
- 6
- Pages
- 2690-2704
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2789250945
- Cited by
- 112
- References
- 38
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 6 · 2023: 15 · 2022: 13 · 2021: 10 · 2020: 26 · 2019: 20 · 2018: 11
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- Funders
- NSF of China (61521063, 61622307, 61633017, U1405251, 61371085, 61603251, U1509211)
- National High Technology Research and Development Program of China (863 Program) (2015AA01A702)
- China Scholarship Council
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Age of Information Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
- Keywords
- Industrial Internet of Things, energy efficiency, state estimation, ultra-reliable communication, mixed-integer nonlinear programming, distributed sensors, industrial wireless networks
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