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IEEE Transactions on Vehicular Technology
Year: 2020 | Volume: 69 | Issue: 6
Guest Editorial Introduction to the Special Section on Blockchains in Emerging Vehicular Social Networks
Publication Year: 2020,Page(s):5732 - 5735
Cited by: Papers (2)
Lightweight Blockchain Consensus Protocols for Vehicular Social Networks
Publication Year: 2020,Page(s):5736 - 5748
Cited by: Papers (30)
This paper presents lightweight blockchain consensus protocols that are specifically designed for vehicular social networks, or other networks that resemble them. They are lightweight in the sense that no puzzles are required to be solved and no cryptocurrency systems are required to be built beforehand. Various scenarios are considered, including whether the communication is reliable and whether ...Show More
Lightweight Blockchain Consensus Protocols for Vehicular Social Networks
Year: 2020 | Volume: 69 | Issue: 6
LDV: A Lightweight DAG-Based Blockchain for Vehicular Social Networks
Publication Year: 2020,Page(s):5749 - 5759
Cited by: Papers (66)
As social networks are integrated into the Vehicular Ad Hoc Networks (VANETs), the emerging Vehicular Social Networks (VSNs) have gained massive interests. However, the security and privacy of data generated by various applications in VSNs is a great challenge, which blocks the further development of VSNs. The emerging blockchain technology seems to be a good catalyst for the development of VSN wi...Show More
Privacy-Preserving Authentication Scheme for Connected Electric Vehicles Using Blockchain and Zero Knowledge Proofs
Publication Year: 2020,Page(s):5760 - 5772
Cited by: Papers (106)
With the increasing interest in connected vehicles along with electrification opportunities, there is an ongoing effort to automate the charging process of electric vehicles (EVs) through their capabilities to communicate with the infrastructure and each other. However, charging EVs takes time and thus in-advance scheduling is needed. As this process is done frequently due to limited mileage per c...Show More
Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks
Publication Year: 2020,Page(s):5773 - 5783
Cited by: Papers (64)
Machine learning (ML) techniques are expected to be used for specific applications in Vehicular Social Networks (VSNs). Support vector machine (SVM) is one of the typical ML methods and widely used for its high efficiency. Due to the limitation of data sources, the data collected by different entities usually contain attributes that are quite different. However, in some real-world scenarios, when ...Show More
TrustAccess: A Trustworthy Secure Ciphertext-Policy and Attribute Hiding Access Control Scheme Based on Blockchain
Publication Year: 2020,Page(s):5784 - 5798
Cited by: Papers (98)
Ciphertext-policy attribute-based encryption (CP-ABE) is widely used in fine-grained access control to achieve the secure data sharing. However, most of the existing CP-ABE access control schemes involve intermediary entities, which might suffer from a high trust-building cost, single point of failure and so on. Due to the decentralization and transparency of blockchain, some blockchain-based acce...Show More
A Blockchain-Based Framework for Lightweight Data Sharing and Energy Trading in V2G Network
Vikas Hassija;Vinay Chamola;Sahil Garg;Dara Nanda Gopala Krishna;Georges Kaddoum;Dushantha Nalin K. Jayakody
Publication Year: 2020,Page(s):5799 - 5812
Cited by: Papers (166)
The Vehicle-to-Grid (V2G) network is, where the battery-powered vehicles provide energy to the power grid, is highly emerging. A robust, scalable, and cost-optimal mechanism that can support the increasing number of transactions in a V2G network is required. Existing studies use traditional blockchain as to achieve this requirement. Blockchain-enabled V2G networks require a high computation power ...Show More
A Blockchain-Based Searchable Public-Key Encryption With Forward and Backward Privacy for Cloud-Assisted Vehicular Social Networks
Publication Year: 2020,Page(s):5813 - 5825
Cited by: Papers (77)
As the integration of the Internet of Vehicles and social networks, vehicular social networks (VSN) not only improves the efficiency and reliability of vehicular communication environment, but also provide more comprehensive social services for users. However, with the emergence of advanced communication and computing technologies, more and more data can be fast and conveniently collected from het...Show More
A Secure and Verifiable Data Sharing Scheme Based on Blockchain in Vehicular Social Networks
Kai Fan;Qiang Pan;Kuan Zhang;Yuhan Bai;Shili Sun;Hui Li;Yintang Yang
Publication Year: 2020,Page(s):5826 - 5835
Cited by: Papers (122)
The vehicular social networks (VSNs) supports diverse kinds of services such as traffic management, road safety, and sharing data (videos, audios, roads photos, air quality, and so on). However, its complex, large-scale and dynamic network structure poses new security challenges. Among these challenges, secure data transmission has turned to be a spotlight. Ciphertext-policy attribute-based encryp...Show More
An Efficient Decentralized Key Management Mechanism for VANET With Blockchain
Zhuo Ma;Junwei Zhang;Yongzhen Guo;Yang Liu;Ximeng Liu;Wei He
Publication Year: 2020,Page(s):5836 - 5849
Cited by: Papers (137)
The vehicular ad hoc network (VANET) has been considered as one of the most prominent technologies for improving the efficiency and safety of modern transportation systems. However, VANET will present a unique range of challenges and opportunities for security. In particular, key management, as the footstone to build a practical security framework in VANET, becomes a research hotspot. In this pape...Show More
BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment
Gagangeet Singh Aujla;Amritpal Singh;Maninderpal Singh;Sumit Sharma;Neeraj Kumar;Kim-Kwang Raymond Choo
Publication Year: 2020,Page(s):5850 - 5863
Cited by: Papers (79)
There has been an increasing trend of moving computing activities closer to the edge of the network, particularly in smart city applications (e.g., vehicle-to-everything - V2X). Such a paradigm allows the end user's requests to be handled/processed by nodes at the edge of the network; thus, reducing latency, and preserving privacy of user data/activities. However, there are a number of challenges ...Show More
Improving the Congestion Control Performance for Mobile Networks in High-Speed Railway via Deep Reinforcement Learning
Publication Year: 2020,Page(s):5864 - 5875
Cited by: Papers (22)
Due to the poor Transmission Control Protocol (TCP) performance in high-speed mobile scenarios, passengers have bad network experiences on High-Speed Railway (HSR). As a result, improving network performance for HSR scenarios has become urgent and widespread concerns. Some previous works quantitatively analyzed the TCP performance on HSR and proposed relevant solutions. Other works focused on the ...Show More
A Decision-Making Strategy for Vehicle Autonomous Braking in Emergency via Deep Reinforcement Learning
Publication Year: 2020,Page(s):5876 - 5888
Cited by: Papers (104)
Autonomous braking through vehicle precise decision-making and control to reduce accidents is a key issue, especially in the early diffusion phase of autonomous vehicle development. This paper proposes a deep reinforcement learning (DRL)-based autonomous braking decision-making strategy in an emergency situation. Three key influencing factors, including efficiency, accuracy and passengers' comfort...Show More
QoS Guaranteed Edge Cloud Resource Provisioning for Vehicle Fleets
Publication Year: 2020,Page(s):5889 - 5900
Cited by: Papers (24)
Nowadays vehicle fleets are launched to perform business or scientific tasks, with new features supported by the emerging multi-access edge computing (MEC) platform. In the presence of high vehicle mobility, however, it is challenging to precisely provision resources among distributed edge clouds so that i) the QoS of vehicular service is guaranteed and meanwhile ii) the provisioning cost is minim...Show More
QoS Guaranteed Edge Cloud Resource Provisioning for Vehicle Fleets
Year: 2020 | Volume: 69 | Issue: 6
Mobility-Aware Analysis of Millimeter Wave Communication Systems With Blockages
Publication Year: 2020,Page(s):5901 - 5912
Cited by: Papers (13)
Millimeter wave (mmWave) communication enables high rate transmission, but its network performance may be degraded significantly due to blockages between the transmitter and receiver. There have been two approaches to overcome the blockage effect and enhance link reliability: multi-connectivity and Ultra-Dense Network (UDN). Particularly, multi-connectivity under a UDN environment facilitates user...Show More
Repetition-Based NOMA Transmission and Its Outage Probability Analysis
Publication Year: 2020,Page(s):5913 - 5922
Cited by: Papers (7)
In this paper, we discuss a non-orthogonal multiple access (NOMA) scheme to exploit a high diversity gain using repetition, namely repetition-based NOMA. Unlike conventional power-domain NOMA, all the users can have the same transmit power, but different number of repetitions. Thanks to a high diversity gain, a low outage probability can be achieved without instantaneous channel state information ...Show More
Repetition-Based NOMA Transmission and Its Outage Probability Analysis
Year: 2020 | Volume: 69 | Issue: 6
A Compact Millimeter-Wave Frequency Conversion SOP (System on Package) Module Based on LTCC Technology
Publication Year: 2020,Page(s):5923 - 5932
Cited by: Papers (7)
A novel compact millimeter-wave system on package (SOP) module is proposed in this paper. To achieve high integration, the 14 layers substrate of module is fabricated with low temperature co-fired ceramic (LTCC) technology, which is advanced in incorporating the passive components in multi-layers, thus realizing the signal vertical propagation for the SOP. The designed SOP covering 30~40 GHz is th...Show More
Can Charging Infrastructure Used Only by Electric Taxis Be Profitable? A Case Study From Karlsruhe, Germany
Publication Year: 2020,Page(s):5933 - 5944
Cited by: Papers (11)
Electric vehicles are a promising instrument for reducing greenhouse gas emissions and other local pollutants, such as nitrogen oxides. Especially the taxi sector is a promising field of application. First, their high driving distances are necessary for electric vehicles to economize against conventional vehicles. Second, taxis are operated predominantly in city centers, where the pressure to redu...Show More
A Parking Slot Allocation Framework Based on Virtual Voting and Adaptive Pricing Algorithm
Publication Year: 2020,Page(s):5945 - 5957
Cited by: Papers (55)
Parking lot allocation problem has received much attention in recent years. There have been various works in the literature that target the parking slot allocation problem. However, most of these works use algorithms that run on centralized servers and are based on some predictions on historical data. Due to the dynamic nature of vehicular networks, the accuracy of such prediction models is not hi...Show More
Dynamic Performance of High-Speed Railway Overhead Contact Line Interacting With Pantograph Considering Local Dropper Defect
Publication Year: 2020,Page(s):5958 - 5967
Cited by: Papers (47)
The local dropper defect is the most common fault in the early service stage of the overhead contact line (OCL) system. The plastic deformation and loose of a dropper may cause the variation of the contact line height, which has a direct effect on the contact performance of the pantograph-OCL system. This paper proposes a methodology to model the OCL with local dropper defect using a nonlinear fin...Show More
Driving Range of Electric Vehicles Charged by Wireless Power Transfer
Publication Year: 2020,Page(s):5968 - 5982
Cited by: Papers (67)
Electric vehicles (EVs) are limited by the on-board batteries in terms of driving range and charging duration. In this paper, the driving range of electric vehicles (EVs) charged by wireless power transfer (WPT) systems is investigated. Specifically, a force-based vehicle model is coupled with a simple extended battery model to simulate the impact of wireless charging on the state of charge of the...Show More
Motion Planning Approach Considering Localization Uncertainty
Antonio Artuñedo;Jorge Villagra;Jorge Godoy;Maria Dolores del Castillo
Publication Year: 2020,Page(s):5983 - 5994
Cited by: Papers (29)
Localization plays an important role in autonomous driving since a high level of accuracy in vehicle localization is indispensable for a safe navigation. Most of the motion planning approaches in the literature assume negligible uncertainty in vehicle localization. However, the accuracy of localization systems can be low by design or even can drop depending on the environment in some cases. In the...Show More
auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles
Yan Pan;Shining Li;Zeyu Ning;Bingqi Li;Qingquan Zhang;Ting Zhu
Publication Year: 2020,Page(s):5995 - 6010
Cited by: Papers (6)
In recent years, a large number of commercial airplanes equipped with sensors have been contributing to collecting the atmospheric composition and meteorological data. Based on a worldwide commercial airplane dataset, we identify an inherent limitation of such an airplane-based sensing system as airplanes fly through airspace with spatiotemporal dynamic. As a result, the sensed data is coarse-grai...Show More
Contact Information
Editor-in-Chief
Faculty of Engineering
The University of Sydney, School of Electrical and Information Engineering
Sydney
Australia
a.jamalipour@ieee.orgContact Information
Editor-in-Chief
Faculty of Engineering
The University of Sydney, School of Electrical and Information Engineering
Sydney
Australia
a.jamalipour@ieee.orgIEEE Account
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