Article
Computer Science, Information Systems
Sohan Gyawali, Shengjie Xu, Yi Qian, Rose Qingyang Hu
Summary: This article surveys the existing work and challenges on LTE and 5G to support efficient V2X communications, covering motivations for cellular based V2X communications, LTE V2X architecture and scenarios, challenges in LTE for V2X communications and solutions, challenges and solutions for 5G vehicular communications, as well as open research issues and possible research directions in cellular based vehicular communications.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Engineering, Civil
Han Qiu, Qinkai Zheng, Mounira Msahli, Gerard Memmi, Meikang Qiu, Jialiang Lu
Summary: With the development of modern Intelligent Transportation System (ITS), reliable and efficient transportation information sharing becomes more important. Despite promising wireless communication schemes like V2X communication standards, challenges such as V2X communication overload still exist. To address this issue, a novel system is proposed to predict traffic flow and density in urban areas to avoid V2X communication flash crowds.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Telecommunications
Eduardo Lopes Cominetti, Marcos Vinicius M. Silva, Marcos A. Simplicio Jr, Harsh Kupwade Patil, Jefferson E. Ricardini
Summary: V2X communications are crucial for establishing an Intelligent Transportation System, reducing traffic congestion, and improving safety. This manuscript discusses two mechanisms to enhance the efficiency of message verification.
VEHICULAR COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Siham Yousfi, Dalila Chiadmi, Maryem Rhanoui
Summary: This paper presents a smart framework that aims to improve the quality of analytical results by integrating big data. The framework focuses on two main concerns of big data integration, namely data completeness and data veracity, and has been implemented in urban and highway traffic management systems.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Jie Lv, Xinxin He, Xinye Yang, Tao Luo
Summary: In this paper, a multi-band cooperative V2X SL scheme is proposed, which offloads partial mmWave control signals to sub-6 GHz control channels and exploits the spatial correlations between multiple frequencies. Centralized and distributed modes are developed for in-coverage and out-of-coverage deployments, respectively. Compared with the existing sub-6 GHz assisted scheme, the proposed distributed MBC-SS achieves 15% improvement in transmission reliability and 12.5% improvement in throughput in highly dense scenarios, while achieving lower delay and training overhead.
Article
Engineering, Civil
Ruhui Ma, Jin Cao, Yinghui Zhang, Chao Shang, Lihui Xiong, Hui Li
Summary: In this paper, we propose a group-based multicast service model and a corresponding authentication and data transmission scheme for vehicles in 5G-V2X network. This scheme allows large vehicles to securely access multicast services and provides features such as authentication, protection, key distribution, and protocol attack resistance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Debing Wei, Chenpei Huang, Xuanheng Li, Bin Lin, Minglei Shu, Jie Wang, Miao Pan
Summary: This article proposes a power-efficient autonomous underwater vehicle (AUV) data collection scheme in an underwater MI and acoustic hybrid sensor network, which can significantly prolong the lifespan of underwater sensor networks.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Analytical
Jongtae Lim, Songhee Park, Dojin Choi, Kyoungsoo Bok, Jaesoo Yoo
Summary: This paper proposes a machine-learning-based road speed prediction scheme that utilizes road environment data analysis. It accurately predicts both average road speed and rapidly changing road speeds by analyzing speed data from the target road and neighboring roads. It considers historical average speed data and events as weights for prediction and uses the LSTM algorithm for sequential data learning.
Article
Chemistry, Analytical
Catalin Beguni, Alin-Mihai Cailean, Sebastian-Andrei Avatamanitei, Eduard Zadobrischi, Raul Stoler, Mihai Dimian, Valentin Popa, Bastien Bechadergue, Luc Chassagne
Summary: This article presents a new in-vehicle visible light communication system that provides car passengers with optical wireless communication. The proposed system includes a visible light communication emitter integrated into the vehicle's ambient lighting system and a mobile receiver. The experimental evaluation demonstrated the feasibility and effectiveness of the system, achieving a data rate of 250 kb/s with a BER lower than 10(-7).
Article
Computer Science, Information Systems
Renato Lo Cigno, Michele Segata
Summary: This paper presents an overview of past research on cooperative driving and emphasizes the importance of communication in improving road safety and efficiency. It also discusses the potential of platooning and explores the factors that may affect the adoption of cooperative driving.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Yaqi Xu, Yan Shi, Yuming Ge, Shanzhi Chen, Longxiang Wang
Summary: Vehicle-to-everything (V2X) communication is crucial for connected and automated driving, requiring high-quality service to ensure human safety. However, accurately predicting the quality of service is challenging. This paper presents a novel Informer-based QoS prediction model that achieves high prediction performance with minimal computing resources, demonstrating superior accuracy and stability in experiments.
Article
Computer Science, Information Systems
Mohanad Dawood Al-Dabbagh, Jessica Smith, Thomas Kleine-Ostmann, Mira Naftaly, Irshaad Fatadin
Summary: This study presents a measurement setup of an over-the-air sub-THz link using a hybrid system of transmission. By optimizing key parameters, high-speed data transmission and error-free image reception were achieved.
Article
Computer Science, Information Systems
Ying Liu, Kwan-Wu Chin, Changlin Yang
Summary: This article studies a novel problem in wireless-powered IoT networks, aiming to maximize the number of uploaded samples by utilizing ambient backscatter communications (AmBC) to conserve energy. The mixed-integer linear program (MILP) and heuristic approach are proposed to set the operation mode of devices based on their residual energy and data, resulting in increased total data uploaded by devices compared to the case without AmBC.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Telecommunications
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Summary: Mobile Edge Computing (MEC) is important because it provides benefits such as reduced latency, reduced network congestion, and improved performance of applications. This research presents an adaptive admission control policy based on reinforcement learning algorithm to prevent edge node from getting overloaded, and validates the proposed solution through simulated experiments.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Artificial Intelligence
Abdulaziz Alarifi, Ayed Alwadain
Summary: This paper proposes a relative traffic management scheme (RTMS) to address traffic issues in healthcare applications, improving responsiveness of autonomous robot-based services using healthcare data flow and query processing. The scheme utilizes ant colony optimization and a linear sigmoid function to address premature convergence issues, reducing outages in healthcare service provisioning and processing time while enhancing response with controlled processing complexity.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Civil
Wei Gao, Celimuge Wu, Lei Zhong, Kok-Lim Alvin Yau
Summary: Vehicle platoons are closely connected groups of vehicles moving in the same direction at a certain speed. In order to address communication challenges within platoons, a spectrum sensing scheduling scheme is proposed. This scheme establishes a three-level platoon architecture and utilizes a greedy algorithm and vehicle-to-vehicle communication to minimize platoon delay and improve safety.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Jie Yin, Yang Xiao, Qingqi Pei, Ying Ju, Lei Liu, Ming Xiao, Celimuge Wu
Summary: In this article, we propose SmartDID, a novel blockchain-based distributed identity that aims to establish a self-sovereign identity and provide strong privacy preservation. Our method configures IoT devices as light nodes and designs a Sybil-resistant, unlinkable, and supervisable distributed identity. We further develop a dual-credential model based on commitment and zero-knowledge proofs to protect privacy. Our scheme achieves better performance compared to CanDID in terms of both credential generation and proof generation.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Hardware & Architecture
Nian Ding, Chunrong Peng, Min Lin, Celimuge Wu
Summary: In recent years, automatic mobile robots have attracted much attention in various fields, facing challenges such as adapting to the environment, stable communication, and robust control. They require support from various technologies and further discussions on geometric adaptability, design characteristics, mobility, flexibility, obstacle avoidance, and fault-tolerant control.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2022)
Article
Computer Science, Information Systems
Liming Gao, Celimuge Wu, Zhaoyang Du, Tsutomu Yoshinaga, Lei Zhong, Fuqiang Liu, Yusheng Ji
Summary: With the growth of data exchange demand in Internet of Vehicle (IoV) systems, the traditional cloud architecture is inadequate. Blockchain technology provides a potential solution, but challenges remain in building efficient blockchain systems. This paper proposes a hierarchical resource scheduling scheme that enhances the performance of blockchain-enabled IoV systems.
Article
Computer Science, Information Systems
Zhaohui Wei, Qingqi Pei, Ning Zhang, Xuefeng Liu, Celimuge Wu, Amirhosein Taherkordi
Summary: With the proliferation of IoT devices and the resulting accumulation of large amounts of data, there is a need for data analysis applications. This work proposes a lightweight privacy-preserving FedL scheme for IoT devices. It adds masks to parameters to protect the privacy of individual local data and incorporates a secure mask reusing mechanism for large-scale FedL tasks to reduce interactions among users. Extensive experiments on real IoT devices demonstrate the accuracy and efficiency of this scheme.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Liwen Niu, Xianfu Chen, Ning Zhang, Yongdong Zhu, Rui Yin, Celimuge Wu, Yangjie Cao
Summary: Mobile-edge computing (MEC) enables computation offloading from resource-constrained mobile devices to nearby servers. However, spectrum congestion poses a challenge to computation task scheduling, affecting the quality of computation experience. This article investigates computation task scheduling in a heterogeneous cellular and WiFi MEC system, considering both licensed and unlicensed spectrum opportunities.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Information Systems
Junting Gao, Chunrong Peng, Tsutomu Yoshinaga, Guorong Han, Siri Guleng, Celimuge Wu
Summary: Internet of Vehicles (IoV) is a network that connects vehicles and everything, sharing traffic data and bringing potential to people's life. The use of blockchains in IoV can build a safe and reliable vehicle network, solving resource consumption and security issues. Researches have investigated the application of blockchains in IoV, summarizing and comparing studies, and identifying future trends and opportunities.
Editorial Material
Telecommunications
Celimuge Wu, Kok-Lim Alvin Yau, Zonghua Zhang, Damla Turgut, Shiwen Mao
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Yapeng Zhao, Qingqing Wu, Wen Chen, Celimuge Wu, H. Vincent Poor
Summary: This article introduces a method to improve the performance of federated learning (FL) in AirComp by using intelligent reflecting surfaces (IRS). By designing multiple communication rounds to minimize the optimality gap of the loss function, this long-term design strategy achieves higher test accuracy in FL than the conventional isolated design approach.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Ying Ju, Guoxue Zou, Haowen Bai, Lei Liu, Qingqi Pei, Celimuge Wu, Sattam Al Otaibi
Summary: In this paper, a random beam switching (RBS) based physical layer key generation (PLKG) scheme is proposed for millimeter wave (mmWave) systems. The effectiveness, reliability and security performance of the RBS scheme are theoretically analyzed. Numerical results are provided to verify the theoretical analysis, which demonstrate that the RBS scheme can provide sufficient secret keys and achieve good secrecy performance to safeguard electronic devices.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Axida Shan, Xiumei Fan, Celimuge Wu, Xinghui Zhang, Rui Men
Summary: Cooperative communication among nodes on roads is crucial in vehicular networks, but selfish nodes greatly reduce network performance. Therefore, this paper proposes a novel detection scheme that takes into account link quality, mobility, and vehicle behaviors using fuzzy logic in a decentralized manner. Additionally, a perception module based on probabilistic calculations is deployed to improve detection decisions. Simulation results demonstrate that the proposed scheme outperforms conventional schemes in terms of Precision, Recall, and F1-score, with acceptable communication overhead.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Zhaoyang Du, Chunrong Peng, Tsutomu Yoshinaga, Celimuge Wu
Summary: This paper proposes a Q-learning-based load-balancing method that optimizes the distribution of real-time tasks between edge servers and cloud servers, reducing processing time. Extensive simulations in an Edge-Cloud network environment demonstrate that the proposed method significantly reduces processing time compared to traditional static load-balancing methods. The Q-learning algorithm enables the system to dynamically learn the optimal decision-making strategy to allocate tasks effectively.
Article
Telecommunications
Jiantao Yuan, Zheyi Wu, Rui Yin, Guangzhe Zhao, Xianfu Chen, Celimuge Wu
Summary: Rational sharing of unlicensed spectrum and efficient use of device-to-device (D2D) communication are effective ways to improve energy efficiency (EE) and spectrum efficiency (SE) in 5G new radio system. This paper extends D2D technology to unlicensed spectrum and studies the EE of user terminals in unlicensed D2D (D2D-U) system. A distributed adaptive joint power and spectrum allocation scheme is proposed based on the differentiated projection method to maximize the EE of user terminals, considering the distributed structure and time-varying wireless fading channels in D2D-U networks. Theoretical analysis and numerical results validate the performance of the proposed scheme, which significantly reduces signaling overhead and achieves global optimality.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Computer Science, Information Systems
Kok-Lim Alvin Yau, Yung-Wey Chong, Xiumei Fan, Celimuge Wu, Yasir Saleem, Phei-Ching Lim
Summary: This paper presents the application of various variants of reinforcement learning (RL) in diabetes management. It focuses on improving blood glucose levels and the similarity between RL and physician's policies. The paper discusses the attributes of RL, essential training elements, representation of diabetes attributes, and different types of RL algorithms. It also explores open issues and potential future developments in using RL for diabetes management.
Article
Computer Science, Hardware & Architecture
Xing An, Celimuge Wu, Yangfei Lin, Min Lin, Tsutomu Yoshinaga, Yusheng Ji
Summary: Multi-robot systems are gaining attention due to their lower cost, better robustness, and higher scalability compared to single-robot systems. Cooperative object transport is a well-known use case of multi-robot systems and has great potential in real-world applications. However, recent studies focus more on coordination and task allocation problems, with less emphasis on communication among multiple robots.
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY
(2023)
