MAC<sup>2</sup>: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles

Zhang, Long; Cao, Wenjing; Zhang, Xinxin; Xu, Haitao

doi:10.1177/1550147718793586

Cited by 11 publications

(17 citation statements)

References 32 publications

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“…In this paper, we do not address the communication between the personal devices/sensors and vehicles for which established technologies, e.g., ZigBee, Bluetooth, Wi-Fi HALOW, and supervisory control and data acquisition (SCADA) based protocols are already established and mature since these communications do not play any part in the synergy of network and user-based services over an IAVs. For more knowledge, the user is referred to a variety of good research literature with an in-depth discussion of these technologies [26], [49]- [50].…”

Section: A Physical Layer Wireless Communications In the Iavsmentioning

confidence: 99%

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

et al. 2020

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The recent race for autonomous or 'driverless' vehicles, has spawned a lot of research in the area of Internet of Autonomous Vehicles (IAVs). With the advent of the latest technology fueled by Artificial Intelligence and Machine Learning, Autonomous Vehicles (AVs) can now determine the best possible route to a destination based on the current traffic situation and take dynamic driving decisions accordingly, while preventing accidents. Field trials for single autonomous vehicles have been largely successful. However, as more autonomous vehicles will be added to the intelligent transport networks, current research is now centered around their synergistic coexistence in the offering of network-centric and user-centric services. This development is governed by borrowing several concepts from the legacy Internet to address the problems of IAVs. In this paper, we present an extensive overview of the research challenges in the IAVs. Moreover, our contributions in this paper are that (i) We show how the network-oriented cooperative client-server model will give way to a more unorthodox and 'selfish' decentralized and peer-to-peer (P2P) model, for example in the offering of navigation services on the IAV. (ii) We discuss how centralized architecture will give way to more distributed architectures for real-time information propagation over the IAV. (iii) We discuss how network-centric policies will begin to shift to user-centric under more beneficial revenue models by offering network-assisted quality of service (QoS) provisioning. (iv) We discuss in detail how vehicle traffic grooming in the IAV would present as much of a challenge as in the legacy Internet. (v) We discuss the disruptive role of value-added services on the IAV, and (iv) Finally, we discuss the problem of cyber threats in the IAV just as in the legacy Internet.

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Section: A Physical Layer Wireless Communications In the Iavsmentioning

confidence: 99%

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

et al. 2020

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“…From a theoretical study perspective, several studies on the multicast routing protocol, video transmission, and social-aware data dissemination in the IoV scenario were undertaken recently. L Zhang et al 9 present a multicast data delivery scheme with random-delay lowest-cost constraint to transfer service messages on service channels. They propose a priority-aware congestion control scheme by considering differentiated priorities of beacon messages on the control channel, to cope with the congestion at the bottleneck vehicle node.…”

Section: Forwarding Schemes In Iovmentioning

confidence: 99%

An urban expressway forwarding scheme for cognitive Internet of vehicles

Wang

Zhang

Sheng

et al. 2020

International Journal of Distributed Sensor Networks

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The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.

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“…A learning algorithm was presented for intelligent resource allocation in vehicular networks [15]. Multicasting and congestion control modules were investigated for intelligent vehicle terminals in internet of vehicles [16]. A machine learning approach was utilized for vehicular social networks (VSNs) in 5G networks [17].…”

Section: Introductionmentioning

confidence: 99%

An Emergence Alert Broadcast Based on Cluster Diversity for Autonomous Vehicles in Indoor Environments

Chang

2020

IEEE Access

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This paper addresses an emergency alert broadcast for autonomous vehicles in indoor environments. For a rapid alert broadcast, a novel cluster diversity is proposed. Using the cluster diversity, the alert broadcast can significantly reduce the number of rebroadcasts. This leads to the rapid delivery of emergency alerts. The cluster diversity consists of clustering and diversity combining. For the clustering, the cluster diversity technique utilizes the location information of autonomous vehicles. Using the location information, a cluster head is selected in each cluster. The cluster head rebroadcasts the emergency alert to the autonomous vehicles. Therefore, the clustering can lessen the number of rebroadcasts. In order to further reduce the number of rebroadcasts, a diversity combining technique is proposed in this paper. The diversity approach is based on the clustering. For the diversity, the emergency alert packet is repeated in the transmitted OFDM block. For each cluster, the emergency alert packet can orthogonally be allocated to the corresponding frequency sub-band in the OFDM block. In the received OFDM block, the autonomous vehicle utilizes the emergency alert packet with the maximum power in order to achieve a diversity. The experimental results exhibit that the proposed cluster diversity can considerably reduce the number of rebroadcasts in indoor environments. The results also show that the presented approach substantially outperforms the conventional technique in terms of the number of outage vehicles in the cases of rebroadcasts under indoor environments.

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MAC²: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles

Cited by 11 publications

References 32 publications

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

An urban expressway forwarding scheme for cognitive Internet of vehicles

An Emergence Alert Broadcast Based on Cluster Diversity for Autonomous Vehicles in Indoor Environments

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MAC2: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles

Cited by 11 publications

References 32 publications

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

An urban expressway forwarding scheme for cognitive Internet of vehicles

An Emergence Alert Broadcast Based on Cluster Diversity for Autonomous Vehicles in Indoor Environments

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Product

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MAC²: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles