Article
Automation & Control Systems
Mu Wang, Changqiao Xu, Xingyan Chen, Lujie Zhong, Zhonghui Wu, Dapeng Oliver Wu
Summary: Industrial Internet-of-Things (IIoT) enhances manufacturing intelligence through big data utilization, while Mobile Device Cloud (MDC) offers potential for IIoT data analysis by leveraging edge resources but faces challenges in task allocation. The decentralized and truthful BC-MDC framework incorporates blockchain technology to address these challenges, achieving low cost usage and high truthfulness compared to existing solutions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Huaming Wu, Katinka Wolter, Pengfei Jiao, Yingjun Deng, Yubin Zhao, Minxian Xu
Summary: This article explores how to achieve secure task offloading collaboration between edge computing and cloud computing using blockchain. By combining MEC and MCC, a blockchain-enabled IoT-Edge-Cloud computing architecture is proposed, providing faster computing services and stronger computational power while minimizing energy consumption and task response time.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Tong Liu, Lu Fang, Yanmin Zhu, Weiqin Tong, Yuanyuan Yang
Summary: In this paper, an online task offloading and resource allocation approach is proposed for edge-cloud orchestrated computing. By leveraging the cooperation between edge computing and cloud computing, the approach aims to reduce the latency of computation tasks and minimize the average latency over time. The approach decomposes the problem into subproblems using Lyapunov optimization and duality theory, and can achieve near-optimal performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Hardware & Architecture
Yuan Cheng
Summary: This paper introduces a hierarchical distributed cloud service network model for 5G networks and a task offloading assignment algorithm in the small cell cloud scenario. The proposed solutions aim to improve resource utilization and user experience quality, as well as ensure the system operates normally under heavy load conditions.
MOBILE NETWORKS & APPLICATIONS
(2022)
Review
Computer Science, Artificial Intelligence
Yousef Qawqzeh, Mafawez T. Alharbi, Ayman Jaradat, Khalid Nazim Abdul Sattar
Summary: This review focuses on recent publications of swarm intelligence algorithms in scheduling and optimization problems, highlighting the increasing number of algorithms for cloud computing optimization. Many emerging algorithms have been developed based on amendments to the original SI algorithms, especially the PSO algorithm. The main goal of this work is to inspire researchers to innovate new SI-based solutions for handling complex and multiobjective computational problems.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Information Systems
Zhipeng Cai, Zhuojun Duan, Wei Li
Summary: This paper investigates the joint problem of sensing task assignment and schedule in Mobile Crowdsensing Systems (MCSs) and proposes four auction schemes, with task owner-centric and mobile user-centric approaches. These schemes differ in their methods for processing auction procedures and computing payments.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Song Yang, Nan He, Fan Li, Stojan Trajanovski, Xu Chen, Yu Wang, Xiaoming Fu
Summary: The combination of C-RAN and MEC can improve spectrum utilization and delay-guaranteed services, shortening service delays by co-locating the BBU pool with edge cloud at the BBU node. Research has focused on user task allocation, path planning, and survivability concerns, proving the NP-hardness of these issues.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Ti Ti Nguyen, Long Bao Le, Quan Le-Trung
Summary: This paper investigates computation task offloading and resource allocation optimization in MIMO based mobile edge computing systems, proposing optimal and low-complexity algorithms to solve mixed integer non-linear problems. Bisection search is used to find the optimal solution for perfect-CSI, while the optimization problem is decomposed into subproblems and iteratively solved in imperfect-CSI scenario using difference of convex functions method.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Meysam Masoudi, Cicek Cavdar
Summary: This research investigates the power minimization problem for mobile devices by data offloading in multi-cell multi-user OFDMA mobile edge computing networks. By utilizing proposed algorithms, considerable power savings can be achieved, such as about 60% for large bit stream size compared to local computing baseline.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Dhritiman Mukherjee, Sudarshan Nandy, Senthilkumar Mohan, Yasser D. Al-Otaibi, Waleed S. Alnumay
Summary: Cloudlet plays an essential role in providing cloud services in Mobile Edge Computing (MEC) with sustainability, aiming at low latency and energy efficiency. A heuristic load balancing strategy is designed to minimize task completion time and makespan, enhancing cloud service efficiency. Experimental results demonstrate significant improvement in energy and execution cost, as well as time, compared to existing methods, with the proposed method outperforming standard algorithms in most observed cases.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Computer Science, Information Systems
Jiangjiang Zhang, Bei Gong, Muhammad Waqas, Shanshan Tu, Zhu Han
Summary: Mobile edge computing is important for improving the quality of service for user task computing, but existing solutions often overlook significant factors. In this study, a trusted many-objective model is built to consider various factors, and an optimization algorithm is designed to address the model. The results show that the proposed algorithm outperforms other advanced algorithms.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Information Systems
Junyu Lu, Qiang Li, Bing Guo, Jie Li, Yan Shen, Gongliang Li, Hong Su
Summary: This study proposes and implements a lightweight computation offloading framework to support offloading of compute-intensive tasks and efficient server deployment. The effectiveness of the framework in reducing energy consumption, boosting performance, and handling intensive offloading requests is demonstrated through experiments and simulations.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Sihyung Joo, Honggu Kang, Joonhyuk Kang
Summary: This study focuses on a tethered unmanned aerial vehicle (TUAV)-assisted mobile edge computing (MEC) system to minimize the system delay of multiple ground mobile users (MUs). By optimizing TUAV position, time slot allocation, and task splitting ratio, the proposed CoSMoS algorithm outperforms benchmark schemes through decomposition, approximation, and alternative optimization techniques.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Prithi Samuel, Arumugham Vinothini, Jayashree Kanniappan
Summary: The increasing number of IoT devices presents challenges for communication. Traditional cloud computing model is not efficient for IoT tasks due to latency. This study proposes using mobile edge computing and fog concept to process IoT tasks independently. The POA-A1DCNN-LSTM algorithm is utilized to optimize energy consumption and task delay, improving the total utility of MEC servers.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Jie Huang, Ao Zhou, Shangguang Wang
Summary: Mobile-edge computing (MEC) is seen as a promising solution to alleviate pressure on the core network and reduce service response time. However, it is challenging to make appropriate service deployment decisions due to limited resources and diverse service requirements. In this article, the authors focus on the hierarchical MEC network and propose an iterative algorithm to minimize monetary cost through service caching, resource allocation, and task scheduling.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Telecommunications
Miao Li, Yixue Hao, Yin Zhang, Min Chen
Summary: This paper proposes a two-stage Stackelberg game with a non-uniform pricing scheme to solve the interference problem between macrocells and femtocells. By charging for interference and allocating transmission power reasonably, this scheme can improve the overall system's total benefit.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Yixue Hao, Zaiyang Tang, Bander Alzahrani, Reem Alotaibi, Reem Alharthi, Miaomiao Zhao, Arif Mahmood
Summary: This paper proposes a novel end-to-end abnormal behavior detection framework using the Graph Convolutional Network (GCN) and a 3D Convolutional Neural Network (3DCNN). By training a one-class classifier to extract features and estimate abnormality scores, and using GCN to model the similarity between video clips for the correction of noisy labels, this framework can effectively detect different abnormal behaviors, especially violent ones.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Yingying Jiang, Yuxuan Mao, Gaoxiang Wu, Zhenhua Cai, Yixue Hao
Summary: With the emergence of mobile edge computing (MEC), the computing and delay requirements of mobile devices can be solved by deploying edge clouds closer to the devices. In dense 5G heterogeneous networks where macro base stations (MBS) and multiple small base stations (SBS) are deployed, the offloading decision needs to consider multiple choices. To address the problem of computing offloading and resource allocation, a collaborative optimization strategy based on multi-agent deep reinforcement learning (MADRL) is proposed. Simulation results demonstrate that this strategy outperforms other baseline schemes in terms of service response delay and energy consumption.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Engineering, Civil
Rui Wang, Jinfeng Xu, Jia Liu, Di Wu, Yixue Hao, Xianzhi Li, Min Chen
Summary: This study proposes an intelligent fabric space enabled by multi-sensing sensors, and presents a behavior analysis pipeline to capture crowd information from micro-level and macro-level. By fusing multiple trajectories, it achieves precise crowd segmentation and motion description.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Min Chen, Jingyu Ouyang, Aijia Jian, Jia Liu, Pan Li, Yixue Hao, Yuchen Gong, Jiayu Hu, Jing Zhou, Rui Wang, Jiaxi Wang, Long Hu, Yuwei Wang, Ju Ouyang, Jing Zhang, Chong Hou, Lei Wei, Huamin Zhou, Dingyu Zhang, Guangming Tao
Summary: Flexible sensors, friendly interfaces, and intelligent recognition are important in the research of human-computer interaction and smart device development. This article presents a low-cost, automated fabrication method for a braided electronic cord that allows for imperceptible, designable, and scalable user interfaces. A multi-feature fusion algorithm is used to recognize gestures on the cord, providing high-precision interaction. The cord's user-friendly features, durability, and rich interaction mode have great potential for advancing human-machine integration.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Tarik Taleb, Abderrahmane Boudi, Luis Rosa, Luis Cordeiro, Theodoros Theodoropoulos, Konstantinos Tserpes, Patrizio Dazzi, Antonis I. Protopsaltis, Richard Li
Summary: This paper proposes an architecture that integrates key factors to support future cross-reality applications. It demonstrates the feasibility of the proposed architecture by describing relevant use case scenarios and mapping the envisioned functionality to existing tools.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Astronomy & Astrophysics
L. Bucciantini, P. Henri, P. Dazzi, G. Wattieaux, F. Lavorenti, X. Vallieres, J. Y. Brochot, F. Colin, M. C. Katrougkalou, G. Vengeons, T. Lecas, O. Le Duff
Summary: Mutual impedance experiments are diagnostic techniques used to identify plasma density and electron temperature. New instrumental modes are being developed to improve time resolution for future space missions. Chirp and multi-spectral modes are validated and found to provide measurements comparable to the reference frequency sweep mode.
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
(2023)
Review
Multidisciplinary Sciences
Min Chen, Jia Liu, Pan Li, Hamid Gharavi, Yixue Hao, Jingyu Ouyang, Jiayu Hu, Long Hu, Chong Hou, Iztok Humar, Lei Wei, Guang-Zhong Yang, Guangming Tao
Summary: With the advancement of intelligent fabric technology, fabric computing is driving a paradigm shift and promoting the development of smart spaces, addressing the issues of carrying silicon-based entities and lack of sensing capabilities. It has great potential for applications and future research opportunities.
Article
Automation & Control Systems
Yiming Miao, Kai Hwang, Di Wu, Yixue Hao, Min Chen
Summary: Drone-swarm-assisted mobile edge computing (MEC) provides additional computation and storage capacity for smart city applications and the Industrial Internet of Things. This article proposes a multi-UAVs-assisted MEC offloading algorithm based on global and local path planning to match mobile devices and UAV trajectory. Experimental results demonstrate that the algorithm achieves more offloading services, shorter path length, and higher energy efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Yixue Hao, Long Hu, Min Chen
Summary: Sensing and computing based on intelligent fabrics are able to meet the ultra-reliable and low-latency communication needs of 6G by integrating sensing units into fabric fibers to perceive user data. This paper proposes an intelligent-fiber-driven 6G fabric computing network to minimize acquisition latency while ensuring accuracy. By transforming the optimization problem into a state space, action space, and reward function, an optimal sensing and placement scheme is designed.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Multidisciplinary
Wenjing Xiao, Yuan Tang, Jia Liu, Di Wu, Bander Alzahrani, Yixue Hao, Ning Zhou
Summary: The advantages of intelligent fabrics enable health service systems to have more efficient and safe information perception and transmission. However, the complex network structure of intelligent fabrics poses challenges in low-power data transmission and processing for health service systems.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Rui Wang, Yixue Hao, Long Hu, Jincai Chen, Min Chen, Di Wu
Summary: To reduce the burden of labeling, this paper proposes a self-supervised learning framework (SSL-FT) that utilizes unlabeled and limited labeled data for crowd counting. The framework consists of an online network and a target network, which are trained using consistent spatial transformations. Results show that SSL-FT outperforms state-of-the-art semi-supervised methods on four public datasets.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Computer Science, Interdisciplinary Applications
Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi
Summary: Nowadays, the exponential growth of devices connected to the Internet of Things and the increased need for data processing has led to the development of a declarative and data-aware solution to determine the placement of service-based applications over the Cloud-IoT continuum. This solution aims to meet both functional and non-functional application requirements while speeding up the decision-making process.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Marco Aldinucci, Robert Birke, Antonio Brogi, Emanuele Carlini, Massimo Coppola, Marco Danelutto, Patrizio Dazzi, Luca Ferrucci, Stefano Forti, Hanna Kavalionak, Gabriele Mencagli, Matteo Mordacchini, Marcelo Pasin, Federica Paganelli, Massimo Torquati
Summary: This paper introduces a continuum-aware programming model that allows the execution of application workflows across cloud, fog, and edge resources. By transforming workflows into autonomous service collaborations, this model simplifies the management of heterogeneous nodes, reduces programmer burden, and enables innovation.
2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC
(2023)
Article
Computer Science, Information Systems
Miao Hu, Di Wu, Weigang Wu, Julian Cheng, Min Chen
Summary: This paper quantifies the influence of intermittent connectivity on mobile edge computing from a theoretical perspective. The proposed analytical framework and extensive simulations demonstrate the accuracy of our models in capturing the impact of intermittent connectivity on MEC.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
