Vehicular Clouds: Enabling Next Generation Connected and Autonomous in-Vehicles Experiences

车载云：实现下一代互联和自主车内体验

• 批准号: RGPIN-2019-06873
• 负责人: Boukerche, Azzedine
• 金额: $ 4.01万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=716465
• 关键词: Vehicular; Clouds; Enabling; Next; Generation

Future applications of connected and autonomous cars, smart transportation systems, Internet of vehicles (IoV) and connected smart cities will create an unprecedented demand for massive sensing, storage, communication and computation resources far beyond the capacity of current mobile computing and networking systems. The rising recent interests of connected and autonomous vehicles and the recent advances of mobile cloud computing and networking create new opportunities for smart and creative management and utilization of the available computing communication and storage resources using vehicular cloud paradigm. However, several fundamental and daunting challenges still remain open and need further and deep investigation. This proposal is devoted to developing the foundation towards an innovative vehicular cloud infrastructure, which will supply the need for all sort of resources, which in turn will handle the growing demands for computation, content, storage and spectrum resources, as well as connected and autonomous vehicles based-applications in general. To do so, this program will address critical and fundamental challenges in terms of vehicular cloud connectivity through large-scale mobile network management, cloud computing and optimized resource allocation for connected and autonomous vehicles' time-critical and infotainment based-applications. The PI is responding to the growing demands of connected and autonomous vehicles and intelligent transportation systems. The long-term vision of this research is towards the design of efficient resource management and discovery protocols for V2E using vehicular cloud paradigm for smart and connected transportation systems. Last, but not least, this program is expected to produce the knowledge and principle that will lead to the development of a new era in the vehicular networking and service provisioning system for connected vehicular based applications, as well as training HQP in an areas with impressive growing demands by IT and transportation Canadian companies while assisting these Canadian industries to be the frontrunner of the technological advancements.

连接和自动驾驶汽车，智能运输系统，车辆互联网（IOV）和连接的智能城市的未来应用将创造出对大规模感应，存储，通信和计算资源的前所未有的需求，这远远超出了当前移动计算和网络系统的能力。连接和自动驾驶汽车的最新兴趣以及移动云计算和网络的最新进展为使用车辆云范式提供了可用的计算通信和存储资源的新机会，并利用了可用的计算范围。但是，一些基本和艰巨的挑战仍然保持开放，需要进一步和深入的调查。 该提案致力于为创新的车辆云基础设施发展基础，该基础设施将满足各种资源的需求，进而将处理对计算，内容，存储和频谱资源的需求不断增长，并且总体上基于相互的和自动驾驶汽车的需求。为此，该计划将通过大规模移动网络管理，云计算和优化的资源分配，以解决连接和自动驾驶汽车的基于时间关键和信息娱乐的应用程序，以解决车辆云连接的关键和根本挑战。 PI正在响应连接和自动驾驶汽车和智能运输系统的需求不断增长。这项研究的长期愿景是针对V2E的有效资源管理和发现协议的设计，使用车辆云范式用于智能和连接的运输系统。 最后但并非最不重要的一点是，该计划有望产生知识和原则，这些知识和原则将导致为基于车辆的应用程序的车辆网络和服务提供系统发展新时代的发展，并在其增长的需求和运输公司的加拿大公司中培训HQP，同时在加拿大公司为这些加拿大工业提供了令人印象深刻的增长。