Artificial Intelligence-Based Energy Efficient Communication System for Intelligent Reflecting Surface-Driven VANETs

Pan, Qianqian; Wu, Jun; Nebhen, Jamel; Su, Yu; Li, Jianhua

doi:10.1109/tits.2022.3152677

Cited by 32 publications

(15 citation statements)

References 45 publications

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“…A similar graph-based study on anomaly detection was presented in [17], where graphs were used to model web traffic in order to identify potential malicious clients. [18] describes the creation of an attention-based temporal Graph Convolutional Network (GCN) method that makes use of temporal features to locate anomalous graph edges within dynamic graphs. Deep auto-encoders and clustering methods were used on network's nodes in conjunction with another dynamic graph anomaly detection method that was developed in [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Bhuvana

Hashmi

Adhvaryu

et al. 2023

Preprint

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In-vehicle communication has developed into a crucial element of today's driving environment as a result of the expanding additions of sensor-centric communication as well as computing devices inside a vehicle for a variety of purposes, consists of vehicle monitoring, physical wiring minimization as well as driving efficiency. The relevant literature on cyber security for in-vehicle communication methods does not, however, currently offer any certain solutions for in-vehicle cyber hazards. The existing solutions, which mostly rely on protocol-specific security approaches, do not provide a comprehensive security framework for in-vehicle communication. This study aims to develop an effective data transmission and intelligent machine learning technique for smart vehicle management in VANET breach detection. In this study, ensemble adversarial Boltzmann CNN architecture is used to detect breaches. The secure short hop opportunistic local routing protocol is then used to send the data. Throughput, QoS, training accuracy, validation accuracy, and network security analysis are all part of the experimental analysis for a variety of security-based datasets. the proposed technique attainedthroughput of 88%, QoS of 77%, training accuracy of 93%, validation accuracy of 96%, network security analysis of 63%, scalability of 75%.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Bhuvana

Hashmi

Adhvaryu

et al. 2023

Preprint

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“…IRS-aided vehicular communications: An IRS can be combined with short-range as well as long-term evolution (LTE) to provide cellular communications for vehicles and infrastructure [ 45 ]. However, as the movement of the vehicles in the city centre will be slow, designing an IRS-based solution will require very thin pointed beams.…”

Section: Conclusion Future Work and Limitationmentioning

confidence: 99%

“…Therefore, this survey provides a more detailed discussion on IRS technology and covers historical concepts, nomenclature, system architecture and design, an IRS-aided wireless network deployment and performance, smart radio channels with an an IRS and the limitations of the existing works and key future research directions. Furthermore, this survey covers several recent research advancements such as IRS-assisted UAV or UAV-satellite systems [ 38 , 39 ], an IRS aided for mobile edge computing [ 40 , 41 ], IRS-aided multiuser communication [ 42 ], IRS-aided localization [ 43 , 44 ], IRS-aided vehicular communications [ 45 ] and IRS-aided power transfer [ 46 , 47 ]. Finally, this survey discusses the current research gaps/opportunities and the possible solutions.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

Okogbaa

Ahmed

Khan

et al. 2022

Sensors

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The existing sub-6 GHz band is insufficient to support the bandwidth requirement of emerging data-rate-hungry applications and Internet of Things devices, requiring ultrareliable low latency communication (URLLC), thus making the migration to millimeter-wave (mmWave) bands inevitable. A notable disadvantage of a mmWave band is the significant losses suffered at higher frequencies that may not be overcome by novel optimization algorithms at the transmitter and receiver and thus result in a performance degradation. To address this, Intelligent Reflecting Surface (IRS) is a new technology capable of transforming the wireless channel from a highly probabilistic to a highly deterministic channel and as a result, overcome the significant losses experienced in the mmWave band. This paper aims to survey the design and applications of an IRS, a 2-dimensional (2D) passive metasurface with the ability to control the wireless propagation channel and thus achieve better spectral efficiency (SE) and energy efficiency (EE) to aid the fifth and beyond generation to deliver the required data rate to support current and emerging technologies. It is imperative that the future wireless technology evolves toward an intelligent software paradigm, and the IRS is expected to be a key enabler in achieving this task. This work provides a detailed survey of the IRS technology, limitations in the current research, and the related research opportunities and possible solutions.

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“…DSRC/ITS-G5 or LTE/5G V2X technologies bring forth vehicle-to-infrastructure (V2I), infrastructure-to-vehicle (I2V), vehicle-to-vehicle (V2V), and V2X communications, which are predominant building blocks for future ITS applications [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. Observing the specific dynamics of vehicular mobility, along with the local scope targeted by DSRC, ITS-G5, LTE/5G V2X, and the AI-empowered intelligent reflecting surface (IRS) communication framework [ 11 ] for ITS applications, notable protocol stacks have been developed by IEEE Wireless Access in Vehicular Environments (WAVE), ISO Communications Access for Land Mobiles (CALM), and the European Telecommunications Standards Institute (ETSI) [ 5 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Contention-Free Cooperative MAC Protocol for Eliminating Heterogenous Collisions in Vehicular Ad Hoc Networks

Linn

Gao

2023

Sensors

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In vehicular ad hoc networks (VANETs), efficient data dissemination to a specified number of vehicles with minimum collisions and limited access delay is critical for accident prevention in road safety. However, packet collisions have a significant impact on access delay, and they may lead to unanticipated link failure when a range of diversified collisions are combined due to complex traffic conditions and rapid changes in network topology. In this paper, we propose a distributed contention-free cooperative medium access control (CFC-MAC) protocol to reduce heterogenous collisions and unintended access delay in stochastic traffic scenarios. Firstly, we develop a cooperative communication system model and cooperative forwarding mechanism to explore the optimum road path between the source and destination by identifying the potential cooperative vehicles. Secondly, we propose a vectorized trajectory estimation mechanism to suppress merging collisions by identifying the relative velocity of vehicles with different speeds in a specific time interval. Based on the case study, typical heterogeneous collisions and aggregated heterogeneous collisions at dissociated positions and associated positions are investigated. In both cases, we propose the corresponding collision-resolving mechanisms by methodically recapturing the colliding time slot or acquiring the available free time slots after identifying the access vehicles and comparing the received signal strengths. Performance analysis for collision probability and access delay is conducted. Finally, the simulation results show that the proposed protocol can achieve deterministic access delay and a minimal collision rate, substantially outperforming the existing solutions.

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Artificial Intelligence-Based Energy Efficient Communication System for Intelligent Reflecting Surface-Driven VANETs

Cited by 32 publications

References 45 publications

Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

A Contention-Free Cooperative MAC Protocol for Eliminating Heterogenous Collisions in Vehicular Ad Hoc Networks

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