A V2V charging allocation protocol for electric vehicles in VANET

Abualola, Huda; Otrok, Hadi; Mizouni, Rabeb; Singh, Shakti

doi:10.1016/j.vehcom.2021.100427

Cited by 12 publications

(5 citation statements)

References 17 publications

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“…Dynamic pricing and congestion control of the data are essential features of the V2V charge allocation protocol for vehicular ad-hoc network (VANET). Another work proposes a consortium blockchain-based system where LAGs serve as authorized nodes, confirming energy trade requests and ensuring fair payment between EVs through smart contracts [72,73]. The system incorporates reward and punishment mechanisms to encourage positive behavior and deter malicious actions.…”

Section: ) Efficient V2v Charge Allocation and Fair Payment Mechanismsmentioning

confidence: 99%

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Alghawi,

Mounsef

2024

IEEE Access

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Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting energy independence, they represent a significant step toward a greener future. As the global EV market continues to expand over the coming decades, the demand for charging stations (CSs) will inevitably surge, necessitating substantial investments from both governments and private investors. In this context, vehicle-to-vehicle (V2V) energy sharing emerges as a transformative solution that can offer EV owners flexibility and energy security beyond the reliance on conventional CSs. This survey delves into the existing technologies harnessed in V2V energy sharing activities while addressing critical challenges to ensure the success of a V2V charge transfer system. It begins by outlining the research methodology, followed by an analysis of the technological landscape, pinpointing the latest advancements and identifying gaps in V2V energy sharing technologies. As a result, it proposes a comprehensive framework for a robust V2V energy and chargesharing infrastructure. The survey also evaluates the financial and economic implications of V2V energy sharing, shedding light on the potential returns for stakeholders and investors. Furthermore, the survey discusses crucial policy and regulatory considerations necessary for a smooth and efficient integration of V2V systems into existing infrastructures. By elucidating solutions to address implementation challenges, the paper aims to pave the way for the successful adoption and widespread deployment of V2V energy sharing systems.

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Section: ) Efficient V2v Charge Allocation and Fair Payment Mechanismsmentioning

confidence: 99%

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Alghawi,

Mounsef

2024

IEEE Access

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“…In general, mobile charging could become a complement, enable flexible charging, reduce traffic jams, and become a support to fixed charging stations during times with high demands. V2V charging was analyzed in [72], discussing that data are required from the driver in need of charging (consumers) to the driver who offers charging and sells it to the other vehicle (providers), and that vehicular ad-hod networks (VANETs) could be used for data-sharing between the vehicles.…”

Section: Mobile Chargingmentioning

confidence: 99%

Charging Electric Vehicles Today and in the Future

Leijon

Boström

2022

WEVJ

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It is expected that more vehicles will be electrified in the coming years. This will require reliable access to charging infrastructure in society, and the charging will include data exchange between different actors. The aim of this review article is to provide an overview of recent scientific literature on different charging strategies, including for example battery swapping, conductive- and inductive charging, and what data that may be needed for charging of different types of electric vehicles. The methodology of the paper includes investigating recent scientific literature and reports in the field, with articles from 2019 to 2022. The contribution of this paper is to provide a broad overview of different charging strategies for different types of electric vehicles, that could be useful today or in the coming years. The literature review shows that data utilized for charging or discharging includes for example information on the battery, temperature, electricity cost, and location. It is concluded that the preferred charging strategy for an electric vehicle may depend on the type of electric vehicle and when, where, and how the vehicle is used.

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“…Mobile relay communication system is used for Unmanned Aerial Vehicle (UAV) [18][19][20], it aims to maximize the number of tasks completed on the UAV and AP by optimizing the local computing frequency, offloading ratio, offloading power, computing frequency of the AP. Quality of Service-Optimized Link State Routing (QoS-OLSR) is used to find routing paths using the Multi-Point Relays (MPRs) in [21], It tackles the problem of the propagation of charging information in Vehicular Ad-hoc Networks (VANETs) [22] and the decentralized allocation of Vehicle-to-Vehicle (V2V) charging pairs.…”

Section: Related Workmentioning

confidence: 99%

A Beacon-less Relay-node Selection Method for 3-D Scenarios in Internet of Vehicle

Cao¹,

Cao²,

Li³

et al. 2022

Journal of Internet Technology

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<p>Internet of Vehicles (IoV) presents a multilevel feature when vehicles move in multilevel scenarios, such as interchange. Wireless channels and node distribution in 3-D scenarios is more complex compared to that in 2-D scenarios, which leads to a smaller range of communication when sender and receiver are located on the different levels compared to the communication range when they are on the same level. It leads to the issues that hop count increases and delivery ratio decreases in the process of relay-node selection, and then makes the relay-node selection more challenging in the multilevel environment. Moreover, the flood beacon for location information exchange of nodes can occupy too much spectrum resources and lack of the real-time. To address the issues, we propose a Relay Selection method based on black-burst for Bi-layer Straight road scenarios (RSBS). The simulation results demonstrate that RSBS not only reduces the possibility of hop increases of average 30% but also reduces the possibility of delivery ratio decreases over average 30% compared to EPBP method.</p> <p> </p>

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A V2V charging allocation protocol for electric vehicles in VANET

Cited by 12 publications

References 17 publications

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Charging Electric Vehicles Today and in the Future

A Beacon-less Relay-node Selection Method for 3-D Scenarios in Internet of Vehicle

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