Article
Automation & Control Systems
Mingyu Gao, Haiping Zhou, Yuxiang Yang, Zhekang Dong, Zhiwei He
Summary: An intelligent master-slave collaborative robot system is developed to improve the efficiency and reduce the labor cost of cafeterias. The system can automatically complete various tasks and its practicality in cafeteria services is confirmed through experiments.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Computer Science, Information Systems
K. Hemant Kumar Reddy, Rajat Subhra Goswami, Diptendu Sinha Roy
Summary: This paper focuses on improving the Quality of Service (QoS) of smart transportation by employing context-aware computing and Artificial Intelligence. The proposed Context-Aware Intelligent Transportation System (CAITS) effectively manages intelligent vehicles and traditional vehicle traffic, utilizing a three-layer learning model and platoon control algorithm. Simulations demonstrate that the proposed scheme improves context prediction efficacy by approximately 8%-24%, leading to reduced service time and energy consumption of EVs and lower CO2 emissions.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Lixing Chen, Cong Shen, Pan Zhou, Jie Xu
Summary: This paper investigates collaborative service placement in MEC-enabled dense small cell networks. The CSP algorithm optimizes service placement decisions collaboratively among small cell BSs, addressing challenges in MEC systems and extending to work with selfish BSs. The algorithm significantly improves time efficiency compared to conventional methods, guaranteeing provable convergence and optimality, and effectively reducing operational costs for both cooperative and selfish BSs.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Engin Zeydan, Josep Mangues-Bafalluy, Yekta Turk
Summary: This study investigates the management of software defined networking-based transport network and edge cloud service orchestration through a machine learning-based design that effectively manages transport and edge cloud resources of a mobile network. Using the Graphical Network Simulator-3 (GNS3) emulator environment to generate and use real-world data inside the ML platform, the results show that trained ML models can accurately select the correct edge clouds with high test accuracy under the considered two scenarios when transport and EC network parameters are considered.
Article
Computer Science, Information Systems
Weijun Yang, Yuqiang Chen, Yeh-Cheng Chen, Ku-Ce Yeh
Summary: Enterprises should predict product demands and manage sales using supply chain management prediction system to improve bottleneck of inventory, increase critical time utilization for hot sales products, and quickly reflect inventory status.
Article
Computer Science, Information Systems
Indranil Sarkar, Mainak Adhikari, Sanjay Kumar, Varun G. Menon
Summary: This article proposes a service provisioning strategy based on deep reinforcement learning, aiming to reduce the energy consumption of industrial fog networks. By deploying DRL in the control plane and solving service provisioning problems using the concept of DQN, a task migration policy is proposed to ensure high availability and avoid single point of failure.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Chunhe Song, Haiyang Zheng, Guangjie Han, Peng Zeng, Li Liu
Summary: Service uncertainty modeling is an important problem in the optimization of manufacturing service composition. This article presents a cloud manufacturing service composition optimization framework based on cloud-edge collaboration that takes into account manufacturing service uncertainty. The framework proposes a method for estimating the uncertainty of manufacturing services based on Gaussian mixture regression on the edge side, and adopts an intelligent evolutionary algorithm on the cloud side to optimize the manufacturing service composition. By using Gaussian mixture distribution to approximate the service availability distribution, the proposed method can effectively model service uncertainty and obtain better composition solutions. Experimental results confirm the effectiveness of the algorithm.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Civil
Ruelia Saha, Chandana Roy, Sudip Misra
Summary: In this paper, Soft-Safe, a Software Defined Safety-as-a-Service (Safe-aaS) model, is proposed to provide safety-related decisions to registered end-users. The model addresses the problem of efficient decision delivery through a two-stage solution, reducing energy consumption and delay compared to existing schemes.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Ruitao Chen, Xianbin Wang
Summary: Mobile collaborative computing (MCC) is a new platform that effectively improves the quality of mobile service by utilizing idle computational resources in distributed mobile devices through peer-to-peer task offloading. This paper proposes a concept of value of service (VoS) to represent the total value of tasks and devices based on their performance. A situation-aware offloading scheme is proposed to maximize VoS by leveraging changing resource availability conditions. The paper also presents solutions to maximize VoS for binary and partial offloading scenarios.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Wei Liang, Songyou Xie, Jiahong Cai, Jianbo Xu, Yupeng Hu, Yang Xu, Meikang Qiu
Summary: Cyber-physical systems (CPSs) are secure real-time embedded systems that integrate physical and information worlds through high-speed real-time transmission. This study proposes a security collaborative filtering recommendation algorithm based on artificial intelligence to capture complex interaction information and accurately predict rating information.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yujia Gao, Liang Liu, Xiaolong Zheng, Chi Zhang, Huadong Ma
Summary: In this article, a new framework called Federated Sensing is proposed to enable edge-cloud elastic collaborative learning from decentralized sensory data. Our framework improves model performance and reduces cloud idle time, showcasing advantages in both model performance and training overhead.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner
Summary: Vehicle-to-everything (V2X) communication and services are gaining interest for intelligent transportation systems. Multi-access/mobile edge computing is proposed as a potential solution, but it introduces challenges such as where to place V2X services given limited computational resources. This study formulates the optimal V2X service placement problem and develops a low-complexity heuristic algorithm to solve it, showing successful maintenance of QoS requirements for different V2X services with close to optimal performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Lin Wang, Lei Jiao, Ting He, Jun Li, Henri Bal
Summary: This paper proposes an iterative algorithm ITEM and an online algorithm OPTS for deploying collaborative edge applications to achieve the best overall system performance, with a parameterized constant approximation ratio and stable performance; experiments show that ITEM performs close to the optimum and converges fast, while OPTS reduces full updates by more than 67% of the time.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Computer Science, Information Systems
Hongchang Sun, Shengjun Wang, Fengyu Zhou, Lei Yin, Meizhen Liu
Summary: Due to the concentration of computing resources in centralized cloud service systems, management confusion, construction costs, and network delay have become prominent issues. To address this, a virtualized edge service pooling system is proposed, along with a hierarchical cloud platform and a dynamic strategy. Quality of service evaluation mechanisms and dynamic task scheduling algorithms are adopted, resulting in improved service response times and resource utilization.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Wei Zheng
Summary: In order to standardize the functions of the Internet of Things interactive system, this article investigates the mechanism of converting PPTCA reaction models into action programs using random time automata, and supports the use of the tool. It also studies the theory and technology of enterprise logistics service management and introduces the B/S system structure, the database technology used, and the research status at home and abroad. The system implements various functions such as user management, company information management, customer service, transaction order and report management.
Article
Engineering, Civil
Mahdi Dibaei, Xi Zheng, Youhua Xia, Xiwei Xu, Alireza Jolfaei, Ali Kashif Bashir, Usman Tariq, Dongjin Yu, Athanasios V. Vasilakos
Summary: This paper discusses the latest communication technologies and applications in vehicular networks, explores the use of machine learning and blockchain in cybersecurity, and provides insights for future research to secure vehicular networks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Hui Yang, Jiaqi Yuan, Chao Li, Guanliang Zhao, Zhengjie Sun, Qiuyan Yao, Bowen Bao, Athanasios V. Vasilakos, Jie Zhang
Summary: This article proposes a brain-like productive service provisioning scheme with federated learning (BrainIoT) for the Industrial Internet of Things (IIoT), which enhances the accuracy and quality of service prediction through mining industrial knowledge graph-based relations and globally optimized resource reservation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Hu Xiong, Kim-Kwang Raymond Choo, Athanasios V. Vasilakos
Summary: The paper presents an identity-based signcryption scheme with efficient revocation and the ability to outsource unsigncryption, enabling secure big data communications. The scheme achieves end-to-end confidentiality, authentication, non-repudiation, and integrity, while providing scalable revocation functionality.
IEEE TRANSACTIONS ON BIG DATA
(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
Biochemical Research Methods
Weng-Long Chang, Wen-Yu Chung, Chun-Yuan Hsiao, Renata Wong, Ju-Chin Chen, Mang Feng, Athanasios V. Vasilakos
Summary: In this paper, a bio-molecular algorithm is proposed for inferring the value of a bit from an unsorted database. The algorithm determines the value of each bit by executing the algorithm multiple times and utilizes quantum algorithms to compute the unitary operator and eigenvalues for specific bits. The effectiveness of the algorithm is verified through experiments.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2022)
Article
Automation & Control Systems
Mou Wu, Naixue Xiong, Athanasios V. Vasilakos, Victor C. M. Leung, C. L. Philip Chen
Summary: The authors propose a reinforced network Newton method with K-order control flexibility (RNN-K) to solve distributed optimization problems. The method integrates consensus strategy and the latest knowledge into local descent direction and accelerates Newton direction's descent by making use of intermediate results. The authors address the difficulty of designing approximated Newton descent in distributed settings by using a special Taylor expansion. The simulation results demonstrate the effectiveness of the method in three types of distributed optimization problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Shaolin Tan, Yaonan Wang, Athanasios V. Vasilakos
Summary: This article explores the modeling of population games and dynamics with static and dynamic graphical communication structures. It introduces the concept of generalized Nash equilibria for population games with graphical strategy interactions and establishes the equivalence between the set of generalized Nash equilibria and the set of rest points of its distributed population dynamics. The study also analyzes the conditions for convergence to generalized Nash equilibrium and Nash equilibrium for distributed population dynamics with both static and dynamical graphical structures.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Information Systems
Mohammad Ali, Mohammad-Reza Sadeghi, Ximeng Liu, Yinbin Miao, Athanasios V. Vasilakos
Summary: Attribute-based encryption and attribute-based keyword search provide fine-grained access and search control for cloud-assisted Industrial Internet of Things. However, existing schemes suffer from high computational overhead, wrong search results, untrustworthy cloud servers, and cumbersome verification processes. This paper presents a verifiable online/offline multi-keyword search scheme that addresses these issues and demonstrates its applicability in the healthcare domain.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Hao Li, Jinwei Wang, Neal Xiong, Yi Zhang, Athanasios V. Vasilakos, Xiangyang Luo
Summary: With the rapid rise of urbanization, criminals are able to exploit social networks to spread secret information by using images as a cover. Determining whether these images contain secret information poses a significant challenge to multimedia computing security. Steganalysis methods based on deep learning can effectively identify the presence of secret information in images transmitted on the Internet in urban scenes, thus playing a crucial role in safeguarding national and social security.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Kuan Wang, Jun Wu, Xi Zheng, Jianhua Li, Wu Yang, Athanasios V. Vasilakos
Summary: Cloud and edge computing can be used to establish an energy-centric smart grid to address the challenges of distributed energy resources and unstable energy supply.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Remote Sensing
Amit Kumar Mishra, Mohammad Wazid, Devesh Pratap Singh, Ashok Kumar Das, Jaskaran Singh, Athanasios V. Vasilakos
Summary: The combination of drones and the Internet has led to the emergence of the Internet of Drones (IoD). This paper proposes a secure blockchain-enabled authentication key management framework for drones in networks beyond 5G. The system's security is demonstrated through detailed analysis and formal verification, showing its resistance against various attacks.
Article
Computer Science, Theory & Methods
Yiqin Qiu, Hui Tian, Haizhou Li, Chin-Chen Chang, Athanasios V. Vasilakos
Summary: This paper proposes a novel steganalysis method based on separable convolution network (SepSteNet) with dual-stream pyramid enhanced strategy (DPES) to improve the detection performance of speech steganography. Experimental results show that the presented method significantly outperforms the existing ones, and DPES can effectively enhance the performance of the existing deep neural network for speech steganalysis.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Uche K. K. Chude-Okonkwo, Babu S. S. Paul, Athanasios V. V. Vasilakos
Summary: Precision medicine is an innovative medical approach that takes into account individuals' omics, medical histories, lifestyles, and environmental information for disease treatment. To fully realize the benefits of precision medicine, various contemporary and future technologies such as nanotechnology, sensor networks, big data, and artificial intelligence need to be utilized. These technologies and applications require a communication network to work together effectively. Thus, communication technology plays a crucial role in the success of precision medicine.
Article
Automation & Control Systems
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh, Athanasios V. Vasilakos
Summary: This paper proposes a novel resource allocation framework (ETP-WE) based on VM threat prediction and dynamic workload estimation, which can predict VM threats and resource usage in real-time. By conducting multiple risk analyses for each VM, efficient VM placement, and developing an ensemble predictor for resource utilization, the framework achieves secure and resource-efficient VM allocation.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Mohammad Ali, Mohammad-Reza Sadeghi, Ximeng Liu, Athanasios V. Vasilakos
Summary: The rapid development of cloud computing and IoT has the potential to significantly improve healthcare quality through smart health (s-health). However, existing s-health solutions have not adequately addressed concerns regarding data integrity, user anonymity, and authentication. To address these issues, a new aggregate anonymous attribute-based remote data verification scheme called A(3)B-RDV is introduced. It provides efficient and secure verification of the integrity of multiple cloud data files, while also ensuring complete anonymity and supporting dishonest-user traceability.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
