Article
Engineering, Electrical & Electronic
Rui Xing, Zhou Su, Qichao Xu, Abderrahim Benslimane
Summary: In this paper, a truck platoon aided secure publish/subscribe system based on smart contract in AVNs is proposed, utilizing truck platoons as brokers and establishing a vehicular blockchain for contract execution. Contracts are designed to address the principal-agent problem and optimize utilities between publishers, subscribers, and brokers, resulting in superior performance compared to conventional schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yilong Hui, Yuanhao Huang, Changle Li, Nan Cheng, Pincan Zhao, Rui Chen, Tom H. Luan
Summary: This article proposes an on-demand self-media data trading scheme in hetvnets, which designs a trading architecture considering both data caching services and data selling services based on blockchain and smart contracts. In the data caching phase, an iterative algorithm is used to obtain optimal strategies for media data producers (MDPs) and media data sellers (MDSs). In the data selling phase, an iteration-based mechanism helps MDSs dynamically determine data selling strategies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Anika Anwar, Talal Halabi, Mohammad Zulkernine
Summary: This paper presents a hierarchical framework for a Collaborative Intrusion Detection Network (CIDN) that improves the accuracy and scalability of intrusion detection in autonomous vehicle networks through collaboration among vehicles.
INTERNET OF THINGS
(2022)
Article
Engineering, Civil
Liang Zhao, Kaiqi Yang, Zhiyuan Tan, Xianwei Li, Suraj Sharma, Zhi Liu
Summary: Vehicular computation offloading is a well-received strategy to execute tasks of legacy vehicles, with the use of mobile edge computing shortening response time but facing challenges in communication quality assurance. UAVs provide a means of establishing communication links and SDN showcases advances in data collection and management. The UVCO algorithm allows UAVs to assist in task forwarding and decision-making, ultimately minimizing the Average System Cost (ASC).
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Ali Shahidinejad, Dariush Abbasinezhad-Mood
Summary: This paper proposes a novel ultra-lightweight framework for secure and anonymous communications of vehicles during their charging reception using blockchain. The proposed scheme ensures the accountability of electric vehicle possessors and has been verified for its practicality and feasibility through security metrics.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Review
Construction & Building Technology
Muhammad Adil, M. A. Parvez Mahmud, Abbas Z. Kouzani, SuiYang Khoo
Summary: The integration of renewable and other distributed energy resources has imposed challenges on the traditional power grid. The increasing demand for green energy and energy trading is driving the need for innovative solutions in the energy market, especially with the rise of electric vehicles. The use of Stackelberg game in modeling energy trading interactions and strategies shows promise in optimizing payoffs and addressing challenges in the current energy trading framework.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Qi Zhang, Yanyan Tang, Derek Bunn, Hailong Li, Yaoming Li
Summary: This study proposes a reward-penalty mechanism for promoting the recycling of LIBs, and finds that a partnership between the manufacturer and retailer can achieve the highest collection rate and total welfare. While increasing the reward-penalty intensity can contribute to higher collection rates, the negative influences of policy expenditure and implementation cost may lead to a decrease in total welfare.
Article
Energy & Fuels
Islam Safak Bayram, Michael Devetsikiotis, Raka Jovanovic
Summary: This study aims to devise a closed-form expression for the plug-in electric vehicle charging station capacity problem and explores planning methods for two types of commercial charging stations. Through mathematical modeling and discrete-event simulations, it is found that optimal capacity planning can significantly reduce waiting times and queue lengths.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Wenhao Fan, Mingyu Hua, Yaoyin Zhang, Yi Su, Xuewei Li, Bihua Tang, Fan Wu, Yuan'an Liu
Summary: Vehicular Edge Computing (VEC) allows vehicles to offload tasks to edge servers deployed on Road Side Units (RSUs), improving task processing performance. This paper proposes a joint task offloading and resource allocation scheme for VEC with edge-edge cooperation, allowing tasks offloaded to high-load edge servers to be further offloaded to low-load edge servers. The objective is to minimize total task processing delay while guaranteeing delay tolerance and holding time for each vehicle.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Nagendra Raparthi, Harish C. Phuleria
Summary: Vehicular emissions are the main cause of air quality deterioration in Indian megacities. This study estimates the emissions in Mumbai through questionnaire surveys and simulations, and presents future emission levels. The results suggest the need for strict regulations and control of non-exhaust vehicular emissions to reduce emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Hardware & Architecture
Abdelfettah Mabrouk, Assia Naja
Summary: Wireless communications between smart vehicles can improve travel speed and safety in vehicular networks. However, malicious hackers can jeopardize this communication system and lead to accidents. To address this issue, enhancing the security of embedded systems is crucial. This research presents an intrusion detection approach to identify harmful nodes. By developing a numerical model based on coalition game and signaling game, an Intrusion Detection Game (IDG) is designed to model interactions between malicious nodes and a Coalition Head equipped with an Intrusion Detection System (CH-IDS). The simulation results show the effectiveness of the proposed approach.
Article
Engineering, Electrical & Electronic
Maryam Hosseini, Reza Ghazizadeh
Summary: This paper investigates the optimal deployment and radio resource allocation in a coordinated UAV-assisted vehicular communication network. By employing UAVs with well-designed deployments, line-of-sight links can be provided to support vehicular communications. The application of NOMA with SIC is proposed to enhance radio resource efficiency for downlink I2V links. A low-complexity hierarchical suboptimal solution method is proposed, which includes a Stackelberg game for optimum deployment and a dynamic method for resource allocation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Physical
Xiaohua Zeng, Haoming Gao, Zhitao Chen, Dongpo Yang, Dafeng Song
Summary: In this paper, a collaborative control strategy based on Nash equilibrium is proposed for cruise speed optimization and energy management of hybrid electric vehicles (HEVs). The strategy can optimize both vehicle-level and hybrid-system-level control simultaneously. Simulation results show that the proposed method outperforms hierarchical model predictive control in terms of vehicle following, safety, comfort, and energy consumption reduction.
JOURNAL OF POWER SOURCES
(2023)
Article
Thermodynamics
Rui Hou, Lei Lei, Kangning Jin, Xiaogang Lin, Lu Xiao
Summary: This study investigates the coexistence of combustion and electric vehicles in the traditional combustion-vehicle market under the influence of network effects. The impact of the greenness gap and network effect on pricing, subsidies, and market returns is evaluated. The results show that introducing electric vehicles is beneficial when the network effect is not considered, but it can only increase manufacturer's profit and social welfare if the fixed costs of the new product line are sufficiently low. Therefore, electric vehicles should be introduced if the greenness gap between the two products is small.
Review
Energy & Fuels
Omid Sadeghian, Arman Oshnoei, Behnam Mohammadi-Ivatloo, Vahid Vahidinasab, Amjad Anvari-Moghaddam
Summary: This review paper discusses the benefits and challenges of EV smart charging (EVSC) from various perspectives, including the role of EV aggregators, charging methods and objectives, and the required infrastructure. The paper also examines the integration of EVSC in energy systems and the environmental benefits of smart green charging solutions. Important findings and recommendations are provided for researchers and policymakers.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Yihui Wang, Songwei Zhu, Shukai Li, Lixing Yang, Bart De Schutter
Summary: This article proposes a novel two-layer hierarchical model predictive control (MPC) model for on-line high-speed railway delay management and train control, aiming to minimize train delays and cancellations. By formulating the optimization problems as mixed integer linear programming problems, the proposed framework provides global objectives management and distributed train control. Simulation analysis demonstrates that this model exhibits good performance in meeting real-time requirements.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Zhou Su, Yuntao Wang, Qichao Xu, Ning Zhang
Summary: This article proposes a lightweight vehicular blockchain-enabled secure (LVBS) data sharing framework for UAV-aided IoV in disaster rescue. The framework utilizes the collaboration between UAVs and blockchain to enable data sharing and secure driving in disaster areas. The research shows that this framework improves the security of the consensus phase and promotes high-quality data sharing.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Dongqing Li, Shaohua Wu, Jian Jiao, Ning Zhang, Qinyu Zhang
Summary: This paper studies the age-oriented hybrid automatic repeat request (HARQ) protocol design in space-air-ground integrated networks (SAGINs) scenarios. It proposes a real-time communication system and an age-optimal redundancy allocation problem to increase the timeliness of the system. Additionally, a fast incremental redundancy hybrid ARQ protocol (fast IR-HARQ) is proposed to reduce the average age without loss of reliability.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Xuming An, Rongfei Fan, Han Hu, Ning Zhang, Saman Atapattu, Theodoros A. Tsiftsis
Summary: This article investigates the use of mobile-edge computing (MEC) in the Internet of Things (IoT) to minimize energy consumption and optimize task offloading strategy, communication resource, and computation resource. Mathematical transformations and derived online policies are proposed to solve the optimization problem, and their effectiveness is proven.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Weiyang Feng, Ning Zhang, Siyu Lin, Shichao Li, Zhe Wang, Bo Ai, Zhangdui Zhong
Summary: This work investigates the transmission and offloading strategy in the nonorthogonal multiple access (NOMA)-enabled fog computing system for the Internet of Things (IoT). The goal is to minimize the total energy consumption of the IoT system while satisfying the latency requirements. The proposed multinode collaboration transmission and computation (MCTC) algorithm decomposes the problem into two subproblems and achieves at least 56.88% improvement compared to other strategies.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Siqi Meng, Shaohua Wu, Aimin Li, Jian Jiao, Ning Zhang, Qinyu Zhang
Summary: This paper proposes a new practical partial self-concatenation coding structure of Spinal codes, named N tail-protected Spinal codes, to protect the tail message blocks of Spinal codes over the flat Rayleigh fading channel.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Xiang Li, Rongfei Fan, Han Hu, Ning Zhang, Xianfu Chen, Anqi Meng
Summary: The article explores an MEC system where IoT devices are aided by multiple relay nodes for task offloading. Different modes of resource allocation are optimized to minimize energy consumption, with successful proposed methods.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Junlin Zhang, Mingqian Liu, Ning Zhang, Yunfei Chen, Fengkui Gong, Qinghai Yang, Nan Zhao
Summary: This article proposes a novel scheme for detecting the transmit-antenna number in MIMO systems in cognitive IoT. The scheme considers both S alpha S interference and Gaussian noise, constructs a discriminating feature vector using higher order moments of the eigenvalues of the generalized correlation matrix (GCM), and employs an advanced clustering algorithm to detect the transmit-antenna number.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Civil
Xiaoming Yuan, Jiahui Chen, Ning Zhang, Jianbing Ni, Fei Richard Yu, Victor C. M. Leung
Summary: This paper proposes a Digital Twin-Driven Vehicular Task Offloading and IRS Configuration Framework (DTVIF) to efficiently monitor, learn, and manage the Internet of Vehicles (IoV) by utilizing Mobile Edge Computing (MEC) and Intelligent Reflective Surface (IRS). The authors also introduce a Two-Stage Optimization algorithm (TSJTI) based on Deep Reinforcement Learning (DRL) and Transfer Learning (TFL) to reduce the processing latency of task offloading and energy consumption in DTVIF.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Jianbo Du, Yan Sun, Ning Zhang, Zehui Xiong, Aijing Sun, Zhiguo Ding
Summary: This article proposes a NOMA-based vehicle edge computing network model to minimize system cost through joint optimization of offloading decision-making, VUE clustering, resource allocation, and power control. Two heuristic algorithms are used to solve the task offloading and resource assignment problems, and closed-form solutions for cloud-related optimization problems are obtained.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Xiaoming Yuan, Zedan Zhang, Chujun Feng, Yejia Cui, Sahil Garg, Georges Kaddoum, Keping Yu
Summary: The rapid expansion of wearable medical devices and health data of Internet of Medical Things (IoMT) poses new challenges to the high Quality of Service (QoS) of intelligent health care in the foreseeable 6G era. Traditional frame aggregation schemes in WBAN generate too much control frames during data transmission, which leads to high delay and energy consumption. In this paper, a Deep Q-learning Network (DQN) based Frame Aggregation and Task Offloading Approach (DQN-FATOA) is proposed, which effectively reduces delay and energy consumption, and improves the throughput and overall utilization of WBAN.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Xiaoming Yuan, Jiahui Chen, Jiayu Yang, Ning Zhang, Tingting Yang, Tao Han, Amir Taherkordi
Summary: This paper proposes a Federated Deep Learning algorithm based on the Spatial-Temporal Long and Short-Term Networks (FedSTN) for predicting traffic flow. The algorithm utilizes distributed model training and data privacy protection to improve prediction accuracy by mining spatio-temporal information and semantic features.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Chuntao Ding, Ao Zhou, Xiao Ma, Ning Zhang, Ching-Hsien Hsu, Shangguang Wang
Summary: This article proposes an IoT image recognition services framework for different needs in the MEC environment, which improves recognition accuracy by about 6% and reduces network traffic by up to 94% compared to the state-of-the-art approaches.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Information Systems
Mingyue Wang, Yu Guo, Chen Zhang, Cong Wang, Hejiao Huang, Xiaohua Jia
Summary: Electronic Health Record (EHR) and its privacy have gained significant attention. Existing systems for EHR sharing are vulnerable to DDoS attacks and single point of failure. In this article, we propose MedShare, a decentralized framework that utilizes blockchain technology to establish a trusted platform for secure EHR sharing. Our system incorporates a constant-size attribute-based encryption scheme for fine-grained access control and supports efficient multi-keyword boolean search operations. Evaluation results on Ethereum demonstrate the efficiency of MedShare.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Information Systems
Fatima Salahdine, Tao Han, Ning Zhang
Summary: 5G, 6G, and beyond networks aim to provide emerging services with new requirements and challenges through key enabler technologies. While these technologies have potential interests, they also bring security concerns and challenges, making network security a primary concern for future wireless communication networks.
SECURITY AND PRIVACY
(2023)
