Editorial Material
Automation & Control Systems
Gaurav Dhiman, Atulya K. Nagar, S. Vimal, Seungmin Rho
Summary: This article introduces the problems caused by the mobile traffic data and resources using IoE in wireless networking, as well as the next-generation networks such as 6G and cybertwin that are implemented to address these problems. 6G communication plays a vital role in supporting complex wireless interconnectivity, and cybertwin serves as the only access point for the network, tracking all user requirements. The article also highlights the importance of using technologies such as blockchain, 6G, and cybertwin together in designing IoE systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Review
Computer Science, Hardware & Architecture
Shubhankar Chaudhary, Pramod Kumar Mishra
Summary: This paper investigates the issue of DDoS attacks in IIoT and discusses the solutions, as well as the correlation between IoT, IIoT, and various communication layers. It also explores research in fields such as machine learning, deep learning, federated learning, and transfer learning.
Editorial Material
Engineering, Electrical & Electronic
Wanshi Chen, Xingqin Lin, Juho Lee, Antti Toskala, Shu Sun, Carla Fabiana Chiasserini, Lingjia Liu
Summary: Since the start of the 5G NR work in 3GPP in 2016, there has been significant progress in both standardization and commercial deployments. Release 15 laid a strong foundation for accommodating diverse services, spectra, and deployment scenarios, while being forward compatible. Release 16 introduced expansion to vertical domain services, and Release 17 accelerated this expansion despite the challenges posed by COVID-19.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Editorial Material
Automation & Control Systems
Syed Hassan Ahmed Shah, Deepika Koundal, Vyasa Sai, Shalli Rani
Summary: The relationship between computing and healthcare has a long history, but the adoption of telemedicine has been slow due to political resistance, lack of infrastructure development frameworks, and lack of resources. The Internet of Medical Things (IoMT) is expected to bring about significant advancements, particularly when combined with edge computing and 5G speed. Artificial intelligence and edge computing have played a crucial role in improving the network for reliable communication in smart healthcare systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Editorial Material
Automation & Control Systems
Ximeng Liu, Robert H. Deng, Yinbin Miao, Athanasios V. Vasilakos
Summary: 5G technology enables the interconnection of humans, machines, and things, allowing devices with communication and sensing capabilities to securely and reliably connect to the Internet. It has potential applications in various military and civilian settings, including radar anomaly detection, unmanned aerial vehicles (UAV) data storage sharing, and traffic data analysis.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Francesco Piccialli, Fabio Giampaolo, David Camacho, Gang Mei
Summary: Deep learning technology is driving the in-depth development of industrial automation. Wang et al. interpret the decision process of convolutional neural networks (CNNs) using a percolation model from a statistical physics perspective. They introduce the concept of differentiation degree and present an empirical formula for quantifying it.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Analytical
Md. Noor-A-Rahim, Jobish John, Fadhil Firyaguna, Hafiz Husnain Raza Sherazi, Sergii Kushch, Aswathi Vijayan, Eoin O'Connell, Dirk Pesch, Brendan O'Flynn, William O'Brien, Martin Hayes, Eddie Armstrong
Summary: Smart manufacturing is a vision and major driver for change in today's industry. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring, controlling, and adapting processes towards more efficient and personalised manufacturing. This paper provides an extensive review of wireless communication protocols currently applied in manufacturing environments, their use cases, and their expected impact on the future of smart manufacturing.
Article
Chemistry, Analytical
Muhammad Zubair Islam, Shahzad, Rashid Ali, Amir Haider, Hyung Seok Kim
Summary: This paper proposes a reinforcement learning-based Intelligent Tactile Edge (ITE) framework to ensure the transparency and stability of teleoperation systems in high packet rates and variable time delay communication networks. The framework estimates network challenges and utilizes a Q-learning algorithm to select the optimal haptic codec scheme. The simulation results show that the proposed strategy improves QoS and maximizes QoE under different network impairments.
Editorial Material
Engineering, Multidisciplinary
Zhi Zhou, Dusit Niyato, Zehui Xiong, Xiaowen Gong, Walid Saad, Xiaoming Fu
Summary: The papers in this special issue discuss the interaction between edge computing and artificial intelligence (AI) in 6G mobile communication networks. They focus on the potential of 6G networks to create an Internet of Intelligence by connecting people, things, and intelligence to solve human challenges and improve our world. Edge computing, which pushes computing tasks and services from the network core to the edge, is recognized as an essential component for empowering 6G networks with AI capabilities.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Review
Chemistry, Analytical
Soo Fun Tan, Azman Samsudin
Summary: This article provides a comprehensive survey of the security and privacy issues in Industrial Internet of Things (IIoT), discussing current industry countermeasures, research proposals and ongoing challenges. It analyzes IIoT technologies based on a four-layer security architecture, evaluates deployed countermeasures, identifies deficiencies, and highlights remaining issues and challenges. As no single solution can address the entire IIoT ecosystem, a data-centric approach that ensures data protection wherever it goes is suggested as a potential solution for industry deployment challenges.
Article
Computer Science, Information Systems
Usman Mahmood Malik, Muhammad Awais Javed
Summary: This paper proposes an ambient intelligence-assisted computing technique for Industrial IoT, aiming to maximize the number of served tasks and improve computational resource utilization at fog nodes by utilizing contextual information and adaptive computing resource unit sizing.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Ali Sufyan, Khan Bahadar Khan, Osama A. Khashan, Talha Mir, Usama Mir
Summary: The emergence of 5G network addresses the challenges of rapid growth in mobile subscribers, disruptive IoT-based applications, and immense channel capacity requirements for connecting trillions of devices. It provides significant capacity gain, quality-of-service assurance, higher spectral efficiency, improved device battery life, and massive machine-type communication to meet user demands and tackle the traffic load and resource consumption in 5G applications.
Editorial Material
Automation & Control Systems
Zheng Chang, Zhenyu Zhou, Zhu Han, Jun Wu
Summary: The green industrial Internet of Things (IIoT) combines intelligent machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency, and reliability. IIoT connects billions of mobile digital devices and industrial equipment, generating large amounts of industrial data and facing challenges in energy consumption compared to the limited energy storage of things.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Baofeng Ji, Yanan Wang, Kang Song, Chunguo Li, Hong Wen, Varun G. Menon, Shahid Mumtaz
Summary: The deployment of the 5G network involves IoT technology, leading to an explosion of data that can trigger new eras. The IoE, as an expansion of IoT, depends on computational intelligence for the development of the 6G mobile communication system. This article discusses the use of computational intelligence in the NIB architecture for 6G, highlighting key technologies, advantages, applications, use cases, and development trends.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Mohammed M. Alani
Summary: With the increasing adoption of IoT in industrial contexts, security challenges become more intense. This paper introduces a machine-learning based intrusion detection system called E2I3DS for industrial IoT, which is explainable, efficient, and highly accurate. The system reduces the number of features from 48 to 11 in the WUSTL-IIOT-2021 dataset while maintaining a high accuracy of 99.97%. The experiments show a false positive rate of 0.01%, a false negative rate of 0.04%, and an excellent detection time of 0.1517 μs. The model is also explained using Shapley additive explanations.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Xiaoheng Deng, Jian Yin, Peiyuan Guan, Neal N. Xiong, Lan Zhang, Shahid Mumtaz
Summary: The development of Industrial Internet of Things (IIoT) and Industry 4.0 has transformed the traditional manufacturing industry. With the mobile-edge computing (MEC) system, computation-intensive tasks can be offloaded from resource-constrained IIoT devices to nearby MEC servers, resulting in lower delay and energy consumption for better Quality of Service (QoS).
IEEE INTERNET OF THINGS JOURNAL
(2023)
Editorial Material
Computer Science, Information Systems
Syed Hassan A. Shah
ACM TRANSACTIONS ON SENSOR NETWORKS
(2023)
Editorial Material
Computer Science, Information Systems
Tu N. Nguyen, Vincenzo Piuri, Lianyong Qi, Shahid Mumtaz, Warren Huang-Chen Lee
Summary: The papers in this special issue focus on technological innovations in wearable, implantable, mobile, and remote healthcare, including IoT, sensor informatics, and patient monitoring applications. These innovations track key health indicators to improve lifestyle and health disorders. IoT devices play a crucial role in helping patients manage their health conditions. The growing field of healthcare wearables presents opportunities for biomedical informatics research to solve complex healthcare problems and improve decision making.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Dinh-Thuan Do, Chi-Bao Le, Alireza Vahid, Shahid Mumtaz
Summary: Unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) systems have been implemented for over a decade, with proposed integration of UAVs with spectrum-efficient techniques, including cognitive radio (CR) and nonorthogonal multiple access (NOMA) to overcome challenges such as energy capacity, signal quality loss, and spectrum limitations. This article incorporates transmit-antenna selection (TAS) into a cognitive radio NOMA network to improve the performance of ground NOMA devices. The system is evaluated through theoretical analysis, closed-form expressions, and Monte Carlo simulations, showing the impact of power allocation factors, UAV altitude, and the number of antennas on system performance.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhen Xie, Xingwang Li, Ming Zeng, Dan Deng, Jianhua Zhang, Shahid Mumtaz, Arumugam Nallanathan
Summary: In this paper, we propose an intelligent reflecting surface (IRS)-aided wireless-powered non-orthogonal multiple access (NOMA) network with double IRSs to enhance communication between transmitter and receiver. The overall process is divided into two phases: downlink wireless energy transmission (WET) and uplink wireless information transmission (WIT). We propose a scheme to maximize the sum rate by jointly optimizing time allocation and phase shift matrices in both phases. The optimization problem is non-trivial due to the coupling of multiple variables and phase shift constraint. An alternative optimization algorithm is adopted to overcome this difficulty step by step. Numerical analysis validates the effectiveness of the proposed scheme in increasing the sum rate and the usage of double IRSs.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Zhiwei Guo, Keping Yu, Kostromitin Konstantin, Shahid Mumtaz, Wei Wei, Peng Shi, Joel J. P. C. Rodrigues
Summary: With the development of green wireless communication, the green Internet of Vehicles (GIoV) has emerged as a potential solution for future transportation. Intelligent traffic forecasting for key nodes in GIoV is a significant research topic. This work combines deep embedding and graph embedding to propose a deep collaborative intelligence-driven traffic forecasting model in GIoV, aiming to establish more reliable feature spaces and improve forecasting efficiency. Experimental results on a real-world dataset show a reduction in forecasting deviation by about 15%-25%.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Editorial Material
Engineering, Electrical & Electronic
Shahid Mumtaz, Mehmet Yuce, Jun Chen, Subhas Mukhopadhyay, Edward Sazonov, Joel J. P. C. Rodrigues, Chunsheng Zhu, Ikram Ashraf
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Ankur Bansal, Neelima Agrawal, Keshav Singh, Chih-Peng Li, Shahid Mumtaz
Summary: In this paper, the use of reconfigurable intelligent surface (RIS) in unmanned aerial vehicle (UAV) based multiuser downlink communications is explored. The selection of RISs based on outdated and imperfect channel state information (CSI) is considered. The network's performance in terms of average coverage probability (ACP) and average bit error rate (ABER) over the complete UAV flight time is analyzed.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Keshav Singh, Farjam Karim, Sandeep Kumar Singh, Prabhat Kumar Sharma, Shahid Mumtaz, Mark F. F. Flanagan
Summary: This paper investigates the use of reconfigurable intelligent surfaces (RISs) to enhance wireless network performance. By efficiently tuning signal reflection through a large number of low-cost passive elements, RISs can improve signal transmission. The paper presents an RIS-aided full-duplex communication network model and evaluates system performance under finite blocklength and infinite blocklength scenarios. The study shows that RISs play a significant role in improving system performance.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Editorial Material
Engineering, Civil
Shahid Mumtaz, Muhammad Ikram Ashraf, Varun G. G. Menon, Taimoor Abbas, Anwer Al-Dulaimi
Summary: We present the fourth part of the Special Issue on Intelligent Autonomous Transportation Systems with 6G, which aims to provide a comprehensive overview of innovative technologies, advanced architectures, and potential challenges. This issue features 43 selected papers that have undergone rigorous evaluation based on the standard review process of the IEEE Transactions on Intelligent Transportation Systems. The evaluation process considered factors such as originality, technical quality, presentational quality, and overall contribution. We will introduce these articles and highlight their main contributions in the following sections.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Feng Wang, Dingde Jiang, Zhihao Wang, Shahid Mumtaz
Summary: This article investigates the optimization problem of data delivery in satellite-terrestrial networks (STNs). It models the STN using a time-varying graph and proposes a user satisfaction indicator to measure transmission performance. By utilizing spatial-temporal decomposition and modifying heuristic algorithms, the allocation of transmission resources for different users is optimized. Additionally, an active time slot division algorithm is proposed to improve the service continuity of STN. Experimental results demonstrate that the proposed optimization scheme achieves excellent transmission performance and better service continuity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Andreas Andreou, Constandinos X. Mavromoustakis, Jordi Mongay Batalla, Evangelos K. Markakis, George Mastorakis, Shahid Mumtaz
Summary: It is expected that unmanned aerial vehicles will form the backbone of smart cities in terms of automation and networking in the near future. Our research focuses on developing advanced microcontrollers embedded with artificial intelligence techniques for self-governing unmanned aerial vehicles. The main objective of our research is to enable full automation of flight paths with high accuracy and ensure autonomous aviation based on norms and constraints. We have developed a novel algorithmic technique for trajectory optimization that enhances accuracy and conducted a simulation investigation to find realistic values for trajectory optimization and obstacle avoidance. The outcomes of our methodology indicate that the safety constraints associated with integrating unmanned aerial vehicles in urban environments can be significantly reduced, increasing their effectiveness in various operations and capabilities.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Yiming Huo, Xingqin Lin, Boya Di, Hongliang Zhang, Francisco Javier Lorca Hernando, Ahmet Serdar Tan, Shahid Mumtaz, Ozlem Tugfe Demir, Kun Chen-Hu
Summary: Massive MIMO, combined with leading-edge technologies, methodologies, and architectures, is set to be a cornerstone technology in the next-generation wireless systems. Recent advancements, such as intelligent reflecting surfaces, artificial intelligence, and Terahertz communications, are expected to enhance the capabilities and performance of future massive MIMO systems. Diverse applications, including wireless localization, vehicular communications, and inter-planetary communications, will continue to thrive.
Editorial Material
Engineering, Multidisciplinary
Sahil Garg, Yulei Wu, Shahid Mumtaz, Fabrizio Granelli, Kim-Kwang Raymond Choo, Min Chen
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Telecommunications
Xingwang Li, Junjie Jiang, Hao Wang, Congzheng Han, Gaojie Chen, Jianhe Du, Chunqiang Hu, Shahid Mumtaz
Summary: This paper investigates the physical layer security (PLS) performance of a wireless-powered ambient backscatter cooperative communication network under the threat of an eavesdropper. The secrecy outage probability (SOP) and secrecy energy efficiency (SEE) are derived, along with the secrecy diversity order. The numerical analysis results demonstrate that system parameters such as transmit power, secrecy rate threshold, reflection efficiency, and distance between the source and backscatter device have an impact on the performance improvement of SOP and SEE, providing guidance for balancing security and energy efficiency in ambient backscatter cooperative relay networks.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
