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Prospects of Wireless Energy-Aware Sensors for Smart Factories in the Industry 4.0 Era. ELECTRONICS 2021. [DOI: 10.3390/electronics10232929] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Advanced sensors are becoming essential for modern factories, as they contribute by gathering comprehensive data about machines, processes, and human-machine interaction. They play an important role in improving manufacturing performance, in-factory logistics, predictive maintenance, supply chains, and digitalization in general. Wireless sensors and wireless sensor networks (WSNs) provide, in this context, significant advantages as they are flexible and easily deployable. They have reduced installation and maintenance costs and contributed by reducing cables and preinstalled infrastructure, leading to improved reliability. WSNs can be retrofitted in machines to provide direct information from inside the processes. Recent developments have revealed exciting possibilities to enhance energy harvesting (EH) and wireless energy transmission, enabling a reliable use of wireless sensors in smart factories. This review provides an overview of the potential of energy aware WSNs for industrial applications and shows relevant techniques for realizing a sustainable energy supply based on energy harvesting and energy transfer. The focus is on high-performance converter solutions and improvement of frequency, bandwidth, hybridization of the converters, and the newest trends towards flexible converters. We report on possibilities to reduce the energy consumption in wireless communication on the node level and on the network level, enabling boosting network efficiency and operability. Based on the existing technologies, energy aware WSNs can nowadays be realized for many applications in smart factories. It can be expected that they will play a great role in the future as an enabler for digitalization in this decisive economic sector.
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Micea MV, Stangaciu CS, Stangaciu V, Curiac DI. Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks. SENSORS (BASEL, SWITZERLAND) 2017; 17:s17071504. [PMID: 28672856 PMCID: PMC5539701 DOI: 10.3390/s17071504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 06/08/2017] [Accepted: 06/22/2017] [Indexed: 06/07/2023]
Abstract
Sensor networks become increasingly a key technology for complex control applications. Their potential use in safety- and time-critical domains has raised the need for task scheduling mechanisms specially adapted to sensor node specific requirements, often materialized in predictable jitter-less execution of tasks characterized by different criticality levels. This paper offers an efficient scheduling solution, named Hybrid Hard Real-Time Scheduling (H²RTS), which combines a static, clock driven method with a dynamic, event driven scheduling technique, in order to provide high execution predictability, while keeping a high node Central Processing Unit (CPU) utilization factor. From the detailed, integrated schedulability analysis of the H²RTS, a set of sufficiency tests are introduced and demonstrated based on the processor demand and linear upper bound metrics. The performance and correct behavior of the proposed hybrid scheduling technique have been extensively evaluated and validated both on a simulator and on a sensor mote equipped with ARM7 microcontroller.
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Affiliation(s)
- Mihai-Victor Micea
- Department of Computers and Information Technology, Politehnica University of Timisoara, V. Parvan No. 2, Timisoara 300223, Romania.
| | - Cristina-Sorina Stangaciu
- Department of Computers and Information Technology, Politehnica University of Timisoara, V. Parvan No. 2, Timisoara 300223, Romania.
| | - Valentin Stangaciu
- Department of Computers and Information Technology, Politehnica University of Timisoara, V. Parvan No. 2, Timisoara 300223, Romania.
| | - Daniel-Ioan Curiac
- Department of Automation and Applied Informatics, Politehnica University of Timisoara, V. Parvan No. 2, Timisoara 300223, Romania.
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Ge W, Suryoprabowo S, Zheng Q, Kuang H. Development of an immunochromatographic test strip for the detection of papaverine in pure ginger powder. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2017.1337086] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Wenliang Ge
- Wuxi No.2 people’s hospital, Wuxi, People’s Republic of China
| | - Steven Suryoprabowo
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | | | - Hua Kuang
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
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Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models. JOURNAL OF SENSOR AND ACTUATOR NETWORKS 2017. [DOI: 10.3390/jsan6020008] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Liu L, Suryoprabowo S, Zheng Q, Song S, Kuang H. Development of an immunochromatographic strip for detection of acetamiprid in cucumber and apple samples. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2017.1312294] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Steven Suryoprabowo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Qiankun Zheng
- Delishi Group, Weifang, Shandong, People’s Republic of China
| | - Shanshan Song
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
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Mukunzi D, Isanga J, Suryoprabowo S, Liu L, Kuang H. Rapid and sensitive immunoassays for the detection of lomefloxacin and related drug residues in bovine milk samples. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2017.1306495] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Daniel Mukunzi
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Joel Isanga
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- Department of Biochemistry, College of Natural Sciences, Makerere University, Kampala, Uganda
| | - Steven Suryoprabowo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People's Republic of China
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Liu L, Suryoprabowo S, Zheng Q, Song S, Kuang H. Rapid detection of aldicarb in cucumber with an immunochromatographic test strip. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2017.1293015] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Steven Suryoprabowo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | | | - Shanshan Song
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
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Jin X, Xia C, Xu H, Wang J, Zeng P. Mixed Criticality Scheduling for Industrial Wireless Sensor Networks. SENSORS 2016; 16:s16091376. [PMID: 27589741 PMCID: PMC5038654 DOI: 10.3390/s16091376] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 08/18/2016] [Accepted: 08/23/2016] [Indexed: 11/16/2022]
Abstract
Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs. Mixed criticality requirements exist in many advanced applications in which different data flows have different levels of importance (or criticality). In this paper, first, we propose a scheduling algorithm, which guarantees the real-time performance and reliability requirements of data flows with different levels of criticality. The algorithm supports centralized optimization and adaptive adjustment. It is able to improve both the scheduling performance and flexibility. Then, we provide the schedulability test through rigorous theoretical analysis. We conduct extensive simulations, and the results demonstrate that the proposed scheduling algorithm and analysis significantly outperform existing ones.
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Affiliation(s)
- Xi Jin
- Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China.
| | - Changqing Xia
- Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China.
| | - Huiting Xu
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
| | - Jintao Wang
- Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China.
- School of Computer and Control Engineering, University of Chinese Academy of Science, Beijing 100049, China.
| | - Peng Zeng
- Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China.
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Sun C, Liu L, Song S, Kuang H, Xu C. Development of a highly sensitive ELISA and immunochromatographic strip to detect pentachlorophenol. FOOD AGR IMMUNOL 2016. [DOI: 10.1080/09540105.2016.1148668] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Affiliation(s)
- Cheng Sun
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, JiangSu, People's Republic of China
| | - Liqiang Liu
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, JiangSu, People's Republic of China
| | - Shanshan Song
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, JiangSu, People's Republic of China
| | - Hua Kuang
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, JiangSu, People's Republic of China
| | - Chuanlai Xu
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, JiangSu, People's Republic of China
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Yu L, Liu L, Song S, Kuang H, Xu C. Development of an immunochromatographic test strip and ic-ELISA for tetrabromobisphenol: a detection in lake water and rice pudding samples. FOOD AGR IMMUNOL 2015. [DOI: 10.1080/09540105.2015.1126234] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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11
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Khaemba GW, Tochi BN, Mukunzi D, Joel I, Guo L, Suryobrobowo S, Song S, Kuang H, Xu C. Development of monoclonal antibody and lateral test strip for sensitive detection of clenbuterol and related β2-agonists in urine samples. FOOD AGR IMMUNOL 2015. [DOI: 10.1080/09540105.2015.1079598] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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