NeTS: Small: Collaborative Research: The Ontology of Inter-Vehicle Networking with Spatio-Temporal Correlation and Spectrum Cognition

据预测，到2035年，自动驾驶汽车将超过5000万辆；车辆的绝对数量和密度为车辆环境中的计算和通信提供了不可忽视的资源。此外，车载通信还受到智能交通系统(ITS)的需求和执行以及短距离通信和IEEE 802.11p/WAVE标准化活动的推动。许多时间敏感或延迟容忍的应用已经被提出和探索，例如协作交通监控，最近扩展到盲道、碰撞预防、实时绕行路线计算等许多其他由Car2Car通信联盟(C2CCC)定义的应用。随着(智能)移动设备的普及，各种类别的移动应用程序也呈爆炸式增长，包括地面导航、移动游戏和社交网络，通过苹果的App Store、Google Play和Windows Phone Store等。上述每个应用程序似乎都非常适合车辆到车辆(V2V)临时网络或车辆到基础设施(V2I)通信。因此，车载网络在促进移动应用、行车安全、网络经济和人们的日常生活等方面发挥着越来越重要的作用。在本项目中，将对车载网络特性进行系统的研究，即所谓的车载通信本体，以获得对实现理论性能极限和理想服务至关重要的科学认识和工程指导。本研究的主要创新点包括：(1)利用频谱认知在有限和大规模的V2V和V2I网络中发现车内网络组成；(2)研究移动中车辆的时空相关性，并利用新的受限移动模型开发一套传播策略；(3)基于强化学习和基于案例的推理机制实现快速邻居发现的检测和识别算法；(4)通过跟踪车载网络中的消息轨迹来实现消息覆盖的理论限制和在V2V和V2I网络中实现最大消息覆盖的方案。这一结果将促进机会主义通信的知识，并促进在车辆环境中迫切需要的应用的工程实践。

It is predicted that there will be over 50 million self-driving cars on the road by 2035; the sheer number and density of vehicles have provided non-negligible resources for computing and communication in vehicular environments. In addition, vehicular communications are also driven by the demands and enforcement of intelligent transportation system (ITS) and standardization activities on DSRC and IEEE 802.11p/WAVE. Many applications, either time-sensitive or delay-tolerant have been proposed and explored, such as cooperative traffic monitoring and control, and recently extended for blind crossing, prevention of collision, real-time detour routes computation, and many others as defined by Car2Car Communication Consortium (C2CCC). Along with the popularity of (smart) mobile devices, there is also an explosion of mobile applications in various categories, including terrestrial navigation, mobile games, and social networking, through Apple's App store, Google Play, and Windows phonestore etc. Each aforementioned application seemingly is well-suited for either vehicle-to-vehicle (V2V) ad hoc networks or vehicle-to-infrastructure (V2I) communications. Therefore, vehicular networks have been playing an increasingly important role in promoting mobile applications, driving safety, network economy, and people's daily life.In this project, a systematic investigation of vehicular networking properties, which is so called ontology of inter-vehicle communications, will be carried out to acquire in-depth scientific understanding and engineering guidelines that are critical to achieving theoretical performance limits and desirable services. This research includes four key innovative contributions: (i) the discovery of inter-vehicle networks composition by using spectrum cognition in finite and large-scale of V2V and V2I networks, (ii) the space and time domains correlations of vehicles on the move, and development of a set of dissemination strategies using a new constrained mobility model, (iii) detection and identification algorithms to achieve fast neighbor discovery using reinforcement learning, and case-based reasoning scheme; and (iv) theoretical limits of the coverage of messages by following the message trajectory in vehicle networks and schemes to achieve the maximum message coverage in both V2V and V2I networks. The results will advance the knowledge of opportunistic communications and facilitate engineering practice for much-needed applications in vehicular environments.