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

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，并且具有优化和自我修复的特性，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、智能化的基础上。为了实现这一目标，我们必须探索和研究如何设计、观察未来网络以及与未来网络交互的新方法。车载自组织网络 (VANET) 等现代网络让我们得以一睹未来网络的风采。 VANET 是一项新的网络计划，致力于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提高交通安全。 VANET 倡议旨在拯救人类生命，并承诺打造经济、环保、无拥堵的高速公路。从VANET的规模来看，它预计将形成一个覆盖整个大陆的网络，每秒有数百万辆汽车加入、交互和离开该网络。当前和经典的网络架构无法满足预期的 VANET 的规模和动态。这项研究的直接目标是解决复杂的 VANET 可扩展性问题。该提案提出了通过从本地化环境中动态提取特征，将 VANET 划分为更小的本地化可管理集群的想法。自治、分布和智能是所提出的集群背后的独特概念。这项研究引入了一个模仿本地交通环境本质的自主集群框架。集群化 VANET 不仅可以在减少道路死亡和减少碳排放方面发挥作用，而且还向自主智能网络的宏伟愿景迈出了一步。

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.