Integrated Vehicular(综合车载)研究综述
Integrated Vehicular 综合车载 - In this paper, we propose a covert wireless uplink transmission strategy in space-air-ground integrated vehicular networks, where the source vehicle transmits its own message over the channel that being used by the host communication system, to avoid being detected by the warden. [1] In this paper, we develop a novel task offloading framework for air-ground integrated vehicular edge computing (AGI-VEC), which is called the learning-based Intent-aware Upper Confidence Bound (IUCB) algorithm. [2] Motivated by these facts, we introduce CAs to enhance the current SAGIN and present a novel architecture called “civil aircrafts augmented space-airground integrated vehicular networks” (CAA-SAGIVN). [3] To support multifarious vehicular services with differentiated quality-of-service (QoS) requirements, space-air-ground integrated vehicular networks (SAGVNs) are envisioned as a promising solution to provide global network connectivity, enhance network flexibility, and improve network reliability. [4] To fully unleash the power of such systems, an integrated vehicular control framework has been widely adopted. [5] Space-air-ground integrated vehicular networks (SAGIVN) integrate satellite networks, aerial networks (UAVs) and vehicular networks into a complete network system, which has been attracting a lot of attention and exploration. [6] Furthermore, using the advantages of the software-defined space-air-ground integrated vehicular network and the characteristics of high altitude platform (HAP) such as wide coverage and high load capacity, we put forward the attack recovery scheme based on deep Q-learning (DQL) to supplement existing defence mechanisms that always have counter attacks and endow the vehicular network with a certain resilience. [7] This paper first presents the dominating security threats in data storage, transmission and sharing of space-air-ground integrated vehicular network (SAGIVN). [8] Growing markets and novel technologies for cooperative and integrated vehicular communication are offering excellent opportunities for innovative business and coordinated research and standardization worldwide. [9] The lightweight security framework adopted in this study is based on an efficient trust model that can improve the adoption of an mHealth integrated vehicular alarm notification system. [10] Air–ground integrated vehicular networks (AGIVNs) assisted by unmanned aerial vehicles (UAVs) have the advantages of wide coverage and flexible configuration, which outperform the ground-based VANET in terms of communication quality. [11] Aerial platforms and edge servers have been recognized as two promising building blocks to improve the quality of service (QoS) in space-air-ground integrated vehicular networks (SAGIN). [12] In this paper, we present a novel integrated vehicular system using collaborative unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for autonomous exploration, mapping, and navigation in GPS-denied 3-dimensional (3-D) unknown environments. [13]在本文中,我们提出了一种空间-空-地一体化车载网络中的隐蔽无线上行链路传输策略,其中源车辆通过主机通信系统使用的信道传输自己的消息,以避免被管理员检测到。 [1] 在本文中,我们开发了一种用于空地集成车辆边缘计算(AGI-VEC)的新型任务卸载框架,称为基于学习的意图感知上置信边界(IUCB)算法。 [2] 受这些事实的启发,我们引入了 CA 来增强当前的 SAGIN,并提出了一种称为“民用飞机增强的空地一体车辆网络”(CAA-SAGIVN)的新型架构。 [3] 为了支持具有差异化服务质量 (QoS) 要求的多种车辆服务,空天地一体化车辆网络 (SAGVN) 被设想为提供全球网络连接、增强网络灵活性和提高网络可靠性的有前途的解决方案。 [4] 为了充分发挥此类系统的力量,集成的车辆控制框架已被广泛采用。 [5] nan [6] nan [7] nan [8] 不断增长的市场和用于协作和集成车辆通信的新技术为全球创新业务和协调研究和标准化提供了极好的机会。 [9] 本研究采用的轻量级安全框架基于有效的信任模型,可以提高 mHealth 集成车辆警报通知系统的采用率。 [10] 无人机辅助的空地一体化车载网络(AGIVN)具有覆盖范围广、配置灵活等优势,在通信质量方面优于陆基VANET。 [11] 空中平台和边缘服务器已被认为是提高空间-空中-地面综合车辆网络 (SAGIN) 服务质量 (QoS) 的两个有前途的构建块。 [12] 在本文中,我们提出了一种新型集成车辆系统,该系统使用协作无人机 (UAV) 和无人驾驶地面车辆 (UGV) 在 GPS 拒绝的 3 维 (3-D) 未知环境中进行自主探索、测绘和导航。 [13]
space air ground 空间空中地面
In this paper, we propose a covert wireless uplink transmission strategy in space-air-ground integrated vehicular networks, where the source vehicle transmits its own message over the channel that being used by the host communication system, to avoid being detected by the warden. [1] To support multifarious vehicular services with differentiated quality-of-service (QoS) requirements, space-air-ground integrated vehicular networks (SAGVNs) are envisioned as a promising solution to provide global network connectivity, enhance network flexibility, and improve network reliability. [2] Space-air-ground integrated vehicular networks (SAGIVN) integrate satellite networks, aerial networks (UAVs) and vehicular networks into a complete network system, which has been attracting a lot of attention and exploration. [3] Furthermore, using the advantages of the software-defined space-air-ground integrated vehicular network and the characteristics of high altitude platform (HAP) such as wide coverage and high load capacity, we put forward the attack recovery scheme based on deep Q-learning (DQL) to supplement existing defence mechanisms that always have counter attacks and endow the vehicular network with a certain resilience. [4] This paper first presents the dominating security threats in data storage, transmission and sharing of space-air-ground integrated vehicular network (SAGIVN). [5]在本文中,我们提出了一种空间-空-地一体化车载网络中的隐蔽无线上行链路传输策略,其中源车辆通过主机通信系统使用的信道传输自己的消息,以避免被管理员检测到。 [1] 为了支持具有差异化服务质量 (QoS) 要求的多种车辆服务,空天地一体化车辆网络 (SAGVN) 被设想为提供全球网络连接、增强网络灵活性和提高网络可靠性的有前途的解决方案。 [2] nan [3] nan [4] nan [5]
Ground Integrated Vehicular 地面综合车
In this paper, we propose a covert wireless uplink transmission strategy in space-air-ground integrated vehicular networks, where the source vehicle transmits its own message over the channel that being used by the host communication system, to avoid being detected by the warden. [1] In this paper, we develop a novel task offloading framework for air-ground integrated vehicular edge computing (AGI-VEC), which is called the learning-based Intent-aware Upper Confidence Bound (IUCB) algorithm. [2] To support multifarious vehicular services with differentiated quality-of-service (QoS) requirements, space-air-ground integrated vehicular networks (SAGVNs) are envisioned as a promising solution to provide global network connectivity, enhance network flexibility, and improve network reliability. [3] Space-air-ground integrated vehicular networks (SAGIVN) integrate satellite networks, aerial networks (UAVs) and vehicular networks into a complete network system, which has been attracting a lot of attention and exploration. [4] Furthermore, using the advantages of the software-defined space-air-ground integrated vehicular network and the characteristics of high altitude platform (HAP) such as wide coverage and high load capacity, we put forward the attack recovery scheme based on deep Q-learning (DQL) to supplement existing defence mechanisms that always have counter attacks and endow the vehicular network with a certain resilience. [5] This paper first presents the dominating security threats in data storage, transmission and sharing of space-air-ground integrated vehicular network (SAGIVN). [6] Air–ground integrated vehicular networks (AGIVNs) assisted by unmanned aerial vehicles (UAVs) have the advantages of wide coverage and flexible configuration, which outperform the ground-based VANET in terms of communication quality. [7] Aerial platforms and edge servers have been recognized as two promising building blocks to improve the quality of service (QoS) in space-air-ground integrated vehicular networks (SAGIN). [8]在本文中,我们提出了一种空间-空-地一体化车载网络中的隐蔽无线上行链路传输策略,其中源车辆通过主机通信系统使用的信道传输自己的消息,以避免被管理员检测到。 [1] 在本文中,我们开发了一种用于空地集成车辆边缘计算(AGI-VEC)的新型任务卸载框架,称为基于学习的意图感知上置信边界(IUCB)算法。 [2] 为了支持具有差异化服务质量 (QoS) 要求的多种车辆服务,空天地一体化车辆网络 (SAGVN) 被设想为提供全球网络连接、增强网络灵活性和提高网络可靠性的有前途的解决方案。 [3] nan [4] nan [5] nan [6] 无人机辅助的空地一体化车载网络(AGIVN)具有覆盖范围广、配置灵活等优势,在通信质量方面优于陆基VANET。 [7] 空中平台和边缘服务器已被认为是提高空间-空中-地面综合车辆网络 (SAGIN) 服务质量 (QoS) 的两个有前途的构建块。 [8]
integrated vehicular network 综合车载网络
In this paper, we propose a covert wireless uplink transmission strategy in space-air-ground integrated vehicular networks, where the source vehicle transmits its own message over the channel that being used by the host communication system, to avoid being detected by the warden. [1] Motivated by these facts, we introduce CAs to enhance the current SAGIN and present a novel architecture called “civil aircrafts augmented space-airground integrated vehicular networks” (CAA-SAGIVN). [2] To support multifarious vehicular services with differentiated quality-of-service (QoS) requirements, space-air-ground integrated vehicular networks (SAGVNs) are envisioned as a promising solution to provide global network connectivity, enhance network flexibility, and improve network reliability. [3] Space-air-ground integrated vehicular networks (SAGIVN) integrate satellite networks, aerial networks (UAVs) and vehicular networks into a complete network system, which has been attracting a lot of attention and exploration. [4] Furthermore, using the advantages of the software-defined space-air-ground integrated vehicular network and the characteristics of high altitude platform (HAP) such as wide coverage and high load capacity, we put forward the attack recovery scheme based on deep Q-learning (DQL) to supplement existing defence mechanisms that always have counter attacks and endow the vehicular network with a certain resilience. [5] This paper first presents the dominating security threats in data storage, transmission and sharing of space-air-ground integrated vehicular network (SAGIVN). [6] Air–ground integrated vehicular networks (AGIVNs) assisted by unmanned aerial vehicles (UAVs) have the advantages of wide coverage and flexible configuration, which outperform the ground-based VANET in terms of communication quality. [7] Aerial platforms and edge servers have been recognized as two promising building blocks to improve the quality of service (QoS) in space-air-ground integrated vehicular networks (SAGIN). [8]在本文中,我们提出了一种空间-空-地一体化车载网络中的隐蔽无线上行链路传输策略,其中源车辆通过主机通信系统使用的信道传输自己的消息,以避免被管理员检测到。 [1] 受这些事实的启发,我们引入了 CA 来增强当前的 SAGIN,并提出了一种称为“民用飞机增强的空地一体车辆网络”(CAA-SAGIVN)的新型架构。 [2] 为了支持具有差异化服务质量 (QoS) 要求的多种车辆服务,空天地一体化车辆网络 (SAGVN) 被设想为提供全球网络连接、增强网络灵活性和提高网络可靠性的有前途的解决方案。 [3] nan [4] nan [5] nan [6] 无人机辅助的空地一体化车载网络(AGIVN)具有覆盖范围广、配置灵活等优势,在通信质量方面优于陆基VANET。 [7] 空中平台和边缘服务器已被认为是提高空间-空中-地面综合车辆网络 (SAGIN) 服务质量 (QoS) 的两个有前途的构建块。 [8]