Review
Engineering, Electrical & Electronic
Muhammad Ali Jamshed, Kamran Ali, Qammer H. Abbasi, Muhammad Ali Imran, Masood Ur-Rehman
Summary: This survey provides a comprehensive overview of wireless sensor nodes, including their historical and architectural background, as well as an in-depth analysis of their design and system performance measurement. It also discusses the need for wireless sensor networks, their deployment and communication protocols, and explores the challenges and limitations faced by these nodes in different environments and during the manufacturing process. The survey concludes with an overview of existing developments expected to enhance wireless sensor nodes to meet the requirements of emerging systems.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Morteza Biabani, Nasser Yazdani, Hossein Fotouhi
Summary: The paper discusses the importance of data collection using mobile sink based on rendezvous points in IoT applications, and proposes an energy-efficient and reliable MS tour planning strategy. By implementing efficient buffer management, forming clustered tree structures and selecting rendezvous points, data collection is reliably ensured.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Tao Hai, Arindam Sarkar, Rahul Karmakar, Mohammad Zubair Khan, Ayman Noor, Talal H. Noor, Abhinav Kumar, A. Yvaz
Summary: This study proposes a vector-valued key exchange method based on hyperchaotic neuronal coordination, which enables secure Wireless Sensor Network (WSN) transmission in the Industrial Internet of Things (IIoT). The artificial neural networks (ANNs) are coordinated through bidirectional training to spread the neuronal key over a communication link. A collaboratively created hyperchaotic-guided pseudorandom number generator (PRNG) is used to generate input sequences for the ANN. The suggested approach achieves perfect synchronization of participated ANNs faster than previous methodologies and shows better performance compared to similar published methods.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Shubhra Jain, K. K. Pattanaik, Rahul Kumar Verma, Sourabh Bharti, Anupam Shukla
Summary: The proposed DGRP green routing protocol effectively reduces the energy overhead in updating the location information of mobile sinks in WSNs, as well as reducing data delivery delay. By creating multiple rings in the sensor field to limit the information updating, DGRP outperforms existing routing protocols.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Chemistry, Analytical
Muneeb A. Khan, Abdul Saboor, Hyun-chul Kim, Heemin Park
Summary: The rapid development of wireless technologies has made localization a significant application in IoT, with potential benefits in safety, health monitoring, environment monitoring, and security. Researchers have proposed various localization schemes based on specific key performance indicators to enhance application performance. Localization has been shown to play a crucial role in the IoT ecosystem.
Article
Computer Science, Information Systems
Ata Ullah, Muhammad Azeem, Humaira Ashraf, N. Z. Jhanjhi, Lewis Nkenyereye, Mamoona Humayun
Summary: Internet of Things (IoT) has gained increasing interest due to its wide applicability in various fields. This article presents a critical data reclamation (CDR) protocol that provides secure data transmission for isolated clusters in IoT-enabled wireless sensor networks (WSNs). Extensive simulations show that the CDR protocol outperforms other counterparts in terms of communication cost, energy consumption, and resilience.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Huili Zhang, Binghao Li, Mahmoud Karimi, Serkan Saydam, Mahbub Hassan
Summary: This article presents the structure of a Mine IoT system based on a three-layer IoT architecture and classifies sensors commonly used in underground mines by specific applications. It also introduces wired and wireless communication technologies and network topologies applicable in underground mines. The article provides a comprehensive review of recent developments in IoT applications for monitoring various environmental parameters and safety management in underground mines. It highlights key challenges and the need for further research in novel advanced techniques to improve the applicability and effectiveness of IoT applications in underground mines.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Sadia Firdous, Nargis Bibi, Madiha Wahid, Samah Alhazmi
Summary: Wireless sensor networks play a crucial role in emerging innovations, but energy exhaustion and efficient energy consumption are major concerns. This research proposes a novel power-efficient cluster-based routing algorithm that reduces traffic overload, limits energy usage, and ultimately extends the network lifetime.
Article
Computer Science, Information Systems
Sonam Lata, Shabana Mehfuz, Shabana Urooj
Summary: This paper analyzes the security threats faced by WSN and IoT, and proposes corresponding prevention strategies, aiming to build a secure IoT expansion and enhance understanding of attack details. In addition, the paper also classifies existing attacks and threats to deepen the understanding of the issues.
Article
Computer Science, Information Systems
Rekha Goyat, Gulshan Kumar, Mamoun Alazab, Mauro Conti, Mritunjay Kumar Rai, Reji Thomas, Rahul Saha, Tai-Hoon Kim
Summary: This study develops a blockchain-based decentralized framework for secure communication in wireless sensor networks-enabled IoTs. By utilizing authentication and privacy-preserving schemes, as well as registration, certification, and revocation processes, the framework protects networks against illegal information access and utilizes storage efficiently.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Computer Science, Information Systems
Sebastien Maudet, Guillaume Andrieux, Romain Chevillon, Jean-Francois Diouris
Summary: Wi-Fi HaLow is a wireless communication technology developed for the IoT, which increases communication range and decreases energy consumption through new mechanisms and features. Measurements using the Newracom NRC-7292 chip show that Wi-Fi HaLow performs well in terms of range, throughput, and latency, providing a real-life propagation model for 802.11ah wireless communications.
INTERNET OF THINGS
(2023)
Review
Engineering, Electrical & Electronic
Subhas Chandra Mukhopadhyay, Sumarga Kumar Sah Tyagi, Nagender Kumar Suryadevara, Vincenzo Piuri, Fabio Scotti, Sherali Zeadally
Summary: Sensors are crucial for IoT systems, with recent advancements being supported by AI-based sensors that are intelligent, reliable, and privacy-aware. These sensors have the potential to detect new patterns, promote product innovation, improve operations, and open up new business models in smart IoT applications.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Manaf Bin-Yahya, Omar Alhussein, Xuemin Shen
Summary: This article presents a hierarchical trust management scheme (TSW) for detecting and addressing malicious nodes and threats in software-defined wireless sensor networks, thereby improving the reliability and security of the network.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Tsz-Wun Tsang, Kwok-Wai Mui, Ling-Tim Wong, Kwok-Yung Law, Ka-Wing Shek
Summary: This study proposes a novel IoT application to evaluate airflow patterns and ventilation performance using tracer gas. The system utilizes small sensors and wireless communication to provide real-time analysis of the tracer gas dispersion and airflow direction.
Article
Chemistry, Analytical
Sebastien Maudet, Guillaume Andrieux, Romain Chevillon, Jean-Francois Diouris
Summary: LPWAN technologies such as LoRa are widely used for IoT applications requiring wide coverage and low energy consumption. Optimizing energy consumption models based on in-situ measurements is crucial for minimizing maintenance costs, especially as existing models often do not consider LoRaWAN protocol specifications. Research indicates that the number of nodes in a LoRaWAN network impacts energy consumption and limits the number of sensors that can be integrated due to collision probability.
Article
Computer Science, Information Systems
Zhuming Bi, Zhonghua Miao, Bing Zhang, Chris W. J. Zhang
Summary: In a dynamic manufacturing environment, a system should be reconfigurable to meet the demands of mass customization. However, the lack of scientific methods and tools to support system reconfiguration poses a challenge for designers in adapting to changing needs.
IEEE SYSTEMS JOURNAL
(2021)
Review
Engineering, Mechanical
Zhuming Bi, Bongsu Kang, Puren Ouyang
Summary: This paper investigates the state-of-the-art of using numerical simulations for fatigue analysis of mechanical actuators, exploring the feasibility of using a numerical simulation for fatigue analysis and discussing the technical challenges in practice. A systematic procedure is suggested to predict fatigue lives of mechanical actuators with Teflon impregnated hard coatings, allowing for optimizing a mechanical structure, reducing design verification costs, and shortening development time.
Article
Materials Science, Ceramics
Mingjun Zhang, Kangwei Li, Yubin Huang, Yongle Hu, Cong Mao, Jian Zhang, Yonggang Tong, Zhuming Bi
Summary: The study introduced a new ultrasonic-assisted laser brazing technique that improved the bonding strength between diamond and filler metal by reducing surface cracks, increasing wettability of molten filler, and forming directional carbides of Cr3C2 and Cr7C3 with higher density.
CERAMICS INTERNATIONAL
(2022)
Article
Automation & Control Systems
Wattana Viriyasitavat, Li Xu, Zhuming Bi, Danupol Hoonsopon
Summary: This article addresses the issue of validator selection in existing permissioned blockchains by proposing a user-oriented framework that evaluates the trustworthiness of IoT services based on users' expectations and requirements. Compliance checking using specification language enables effective expression of user requirements and prevents improper validator selection that may lead to collusion attacks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Zhiqin Qian, Yuchen Lin, Weiji Jing, Zhekai Ma, Hao Liu, Ruixue Yin, Zezhi Li, Zhuming Bi, Wenjun Zhang
Summary: In this article, a wearable fall detection system based on a novel algorithm is introduced. The system combines MEMS and NB-IoT technology, and the user interface is developed using cloud technology and server-client architecture. The experimental results show that the system has high accuracy and sensitivity, and can effectively detect falls.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Zesheng Chen, Li-Chi Chang, Chao Chen, Guoping Wang, Zhuming Bi
Summary: Speaker verification systems are vulnerable to adversarial attacks, and this paper proposes a simple defense system that weakens the FakeBob attack. Through experiments, it is shown that adding noise is more effective than denoising. Several possible adaptive FakeBob attacks are also studied, and the results demonstrate that noise-adding can provide considerable protection against these countermeasures.
Article
Automation & Control Systems
Hongrui Gao, Yingwei Zhang, Zhuming Bi
Summary: In this article, the genetic transfer learning (GTL) method is proposed to transfer knowledge of sustainable assembly manufacturing systems. Existing methods suffer from limitations such as tedious trial-and-error processes, no utilization of existing solutions, and no consideration of new constraints. To address these problems, GTL is used to migrate knowledge and adapt to new constraints. The contributions include transfer pretreatment, defining system similarity, and determining transfer strategy. A case study shows that transfer learning improves assembly line efficiency and sustainability.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Wattana Viriyasitavat, Li Da Xu, Gaurav Dhiman, Zhuming Bi
Summary: Blockchain Technology (BCT) has revolutionized Business Process Management (BPM) by providing a decentralized infrastructure for secure data management. This paper conducts a systematic literature review (SLR) to explore the development and limitations of BCT in BPM applications. Unlike previous surveys, this paper thoroughly investigates the impact of BCT on BPM and analyzes the requirements for Business Process Compliance (BPC). To address these gaps, Blockchain-as-a-Service (BCaaS) is introduced in business process architecture, and future trends for BCT development are identified accordingly.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Chuan Ma, Yingwei Zhang, Zhuming Bi
Summary: A complex industrial process is difficult to monitor with traditional single-view methods. This article proposes a collaborative feature regression (CFR) method based on multiview data to detect abnormal working conditions. The CFR method includes a unified framework for both physical variables and image matrix, a new data preprocessing method to convert multiview data for further consideration, and a holistic feature regression model using multiview data. Compared to single-view methods, the CFR-based method can timely and effectively identify abnormal conditions, ensuring the stable operation of industrial processes. Its effectiveness is proven when applied to detect abnormal working conditions in an electro-fused magnesia furnace (EFMF).
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Computer Science, Information Systems
Wattana Viriyasitavat, Li Da Xu, Dusit Niyato, Zhuming Bi, Danupol Hoonsopon
Summary: Blockchain technology is revolutionizing Business Process Management by providing trust and enforcing obligations through smart contracts. This paper explores the applications of blockchain in BPM, identifies the relationship between BPM and blockchain, discusses the current progress in the field, and highlights the challenges and research directions for future advancements. The study finds that adopting blockchain in BPM has attracted significant attention and holds promise for assuring trust in decentralized BPM. Efforts are needed to address technical challenges and improve interoperability, trust entity determination, time-sensitive execution confirmation, and support for irreversibility.
Article
Engineering, Electrical & Electronic
Hongyuan Jiao, Yingwei Zhang, Chaomin Luo, Zhuming Bi
Summary: This study proposes a collaborative multiple rank regression (CMRR) method to predict the temperature in a blast furnace hearth based on images and physical variables. The method classifies and imposes design constraints on the variables, and adopts locality preserving projection to handle the diversity of big data. The effectiveness of the proposed method is validated through comparative studies using real-world data.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu
Summary: In a traditional system paradigm, an enterprise reference model guides practitioners in selecting and configuring manufacturing elements, while a smart manufacturing system aims to achieve high-level smartness through reconfiguring different systems in its lifecycle. This work proposes unified definitions of digital functional elements and manufacturing systems, as well as a systematic design methodology for smart manufacturing systems.
Article
Engineering, Electrical & Electronic
Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu
Summary: Smart manufacturing (SM) is a promising paradigm that has attracted significant attention, but there is a need for unification and further research in terms of definitions, reference models, and system design methodologies due to diversity, ambiguity, and inconsistency. A simplified definition of SM and a reference model called digital triad (DT-II) have been proposed, along with the concept of IoDTT for system adaptability. Additionally, a generic methodology based on axiomatic design theory has been introduced for the design of smart manufacturing systems.
Article
Engineering, Electrical & Electronic
Yuanjian Fu, Chaomin Luo, Zhuming Bi
Summary: In this article, a novel method named low-rank joint embedding is proposed for robust process monitoring, which can capture the global structure of the data and alleviate the negative effect of outliers. By introducing manifold regularization, the method also preserves the local geometric structure of data, enhancing the monitoring capability. Case studies on the Tennessee Eastman process and a real industrial application demonstrate the effectiveness of this monitoring approach.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Review
Computer Science, Information Systems
Zhuming Bi, K. L. Yung, Andrew W. H. Ip, Yuk Ming Tang, Chris W. J. Zhang, Li Da Xu
Summary: This paper presents a comprehensive survey on the application of information integration in space informatics, providing important insights into handling the complexity, changes, dynamics, and uncertainties of space systems. It emphasizes the importance of first-time right implementation for space systems and introduces the concept of digital-triad to overcome the limitations of existing digital twin technology, along with a list of fundamental design principles.
