Towards Hierarchical Autonomous Context-Aware Distributed Clustered Vehicular Ad-hoc Networks (VANET)

迈向分层自治上下文感知分布式集群车载自组织网络 (VANET)

• 批准号: 356096-2012
• 负责人: Morgan, Yasser
• 金额: $ 1.02万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634756
• 关键词: Towards; Hierarchical; Autonomous; Context; Aware

Future networks must serve human demands in ways never before thought possible. Networks will operate in dynamic environments, interact with users and other networks, respond to malicious attacks and yet, have properties of optimality and self-healing while keeping the user out of convoluted details. Future network architectures will be built on a foundation of autonomy, distribution, and intelligence. To achieve that, we must explore and examine new ways of looking at how we design, observe, and interact with future networks. Modern networks like Vehicular Ad-hoc Networks (VANET) offer a glimpse on future network apprehensions. VANET is a new network initiative vowing to improve transportation safety by applying a range of modern wireless technologies connecting vehicles together and to road infrastructure. VANET initiative aims at saving human lives and pledges economical, environmentally-friendly, and congestion-free highways. To put VANET's size into perspective, it is expected to form a continent-wide network with millions of cars joining, interacting, and leaving the network every second. Current and classical network architectures fail to serve the scale and dynamics of the expected VANET. The immediate goal of this research is to resolve the complex VANET scalability problem. This proposal presents the idea of dividing up VANET into smaller localized manageable clusters by dynamically extracting characteristics from its localized environment. Autonomy, distribution, and intelligence are the unique concepts behind the proposed clustering. This research introduces an autonomous clustering framework that mimics the essence of the localized transportation environments. Clustering VANET would not only play a role in decreasing road fatalities and reducing carbon emissions, it also presents a step towards the grand vision of autonomous intelligent networks.

未来的网络必须以前所未有的方式满足人类的需求。网络将在动态环境中运行，与用户和其他网络交互，响应恶意攻击，但具有最优性和自我修复的特性，同时使用户远离复杂的细节。未来的网络架构将建立在自治、分布式和智能的基础上。为了实现这一目标，我们必须探索和研究新的方法来看待我们如何设计，观察和与未来网络互动。现代网络，如车载自组织网络（VANET），提供了对未来网络的理解一瞥。VANET是一项新的网络计划，旨在通过应用一系列现代无线技术将车辆连接在一起并连接到道路基础设施来改善交通安全。VANET倡议旨在拯救人类生命，并承诺经济，环保和免费的高速公路。从VANET的规模来看，它有望形成一个覆盖整个大陆的网络，每秒有数百万辆汽车加入、交互和离开网络。当前和经典的网络架构未能服务于预期的VANET的规模和动态。本研究的直接目标是解决复杂的VANET可扩展性问题。该方案提出了通过动态地提取本地环境的特征，将VANET划分为较小的本地化可管理集群的思想。自治、分布和智能是所提出的集群背后的独特概念。本研究介绍了一个自主聚类框架，模仿本地化的交通环境的本质。集群VANET不仅可以减少道路死亡人数和减少碳排放，还可以向自主智能网络的宏伟愿景迈出一步。