Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Niu, Zhisheng; Shen, Xuemin; Zhang, Qinyu; Tang, Yuliang

doi:10.23919/icn.2020.0009

Cited by 95 publications

(34 citation statements)

References 78 publications

(86 reference statements)

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“…Environmental mapping P, S N/A Aircraft runaway detection via remote sensing [77]; Space-Air-Ground integrated vehicular network [78] However, it is also important to discuss existing limitations of high-speed scenarios for autonomous vehicles. One limitation in the current terrestrial technologies in terms of autonomous vehicle services is the requirement for ubiquitous and seamless coverage, which should be as close to 100% as possible.…”

Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

“…One limitation in the current terrestrial technologies in terms of autonomous vehicle services is the requirement for ubiquitous and seamless coverage, which should be as close to 100% as possible. In order to address this challenging limit, satellite-based networks, such as LEO, as well as their integration with terrestrial networks, have begun being investigated in the literature, e.g., in [78].…”

Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

See 1 more Smart Citation

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Çelikbilek

Saleem

Ferre

et al. 2022

Sensors

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Future autonomous transportation is one of the most demanding application areas in terms of connectivity, as it has to simultaneously meet stringent criteria that do not typically go hand in hand, such as high throughput, low latency, high coverage/availability, high positioning and sensing accuracies, high security and robustness to interferences, etc. In order to meet the future demands of challenging applications, such as applications relying on autonomous vehicles, terrestrial networks are no longer sufficient and are to be augmented in the future with satellite-based networks. Among the emerging satellite networks, Low Earth Orbit (LEO) networks are able to provide advantages over traditional Medium Earth Orbit (MEO) and Geo-Stationary Earth Orbit (GEO) networks in terms of signal latency, cost, and performance. Nevertheless, several challenges exist in LEO system design, which have not been fully addressed in the existing literature. In particular, the problem of LEO-system optimization of design parameters is a multi-dimensional problem with many aspects to be considered. This paper offers a comprehensive survey of the LEO-system design parameters, of the challenges in LEO system design process, and of the optimization methods for satellite communication, positioning, and sensing applications, as well as a summarizing discussion on the design considerations for LEO-based networks to support future autonomous transportation.

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Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Çelikbilek

Saleem

Ferre

et al. 2022

Sensors

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show abstract

“…Research and development on the connected-vehicle-traffic environment are gaining momentum in the past few years due to the growing government-level support in this the area in most developed countries, particularly in the UK, US, and EU countries [ 12 ]. An integrated vehicular network name, i.e., Space–Air–Ground (SAGiven) has been suggested, focusing on heterogeneous network function and network resource identification [ 13 ]. It has developed a vehicular communication framework considering mobile-network-connected on-road ground vehicles, unmanned aerial vehicles (UAVs), and satellites-based space vehicles.…”

Section: Related Workmentioning

confidence: 99%

Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

Khasawneh

Helou²,

Khatri³

et al. 2022

Sensors

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Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various existing networks in road traffic environments that need to be integrated. The existing literature on vehicular communication is lacking in the area of network optimization for heterogeneous network environments. In this context, this paper proposes a heterogeneous network model for IoV and service-oriented network optimization. The network model focuses on three key networking entities: vehicular cloud, heterogeneous communication, and smart use cases as clients. Most traffic-related data–oriented computations are performed at cloud servers for making intelligent decisions. The connection component enables handoff-centric network communication in heterogeneous vehicular environments. The use-case-oriented smart traffic services are implemented as clients for the network model. The model is tested for various service-oriented metrics in heterogeneous vehicular communication environments with the aim of affirming several service benefits. Future challenges and issues in heterogeneous IoV environments are also highlighted.

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“…Internet of Vehicles (IoVs) is a major application of IoT in the transportation industry [33][34][35][36][37][38]. IoVs involve vehicles that are equipped with wireless transceivers and infrastructure Road Side Units (RSUs) placed at different regions on the road.…”

Section: Internet Of Vehiclesmentioning

confidence: 99%

Reliable Internet of Things: Challenges and Future Trends

et al. 2021

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The Internet of Things (IoT) is a vital component of many future industries. By intelligent integration of sensors, wireless communications, computing techniques, and data analytics, IoT can increase productivity and efficiency of industries. Reliability of data transmission is key to realize several applications offered by IoT. In this paper, we present an overview of future IoT applications, and their major communication requirements. We provide a brief survey of recent work in four major areas of reliable IoT including resource allocation, latency management, security, and reliability metrics. Finally, we highlight some of the important challenges for reliable IoT related to machine learning techniques, 6G communications and blockchain based security that need further investigation and discuss related future directions.

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Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Cited by 95 publications

References 78 publications

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

Reliable Internet of Things: Challenges and Future Trends

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