NeTS: Small: Collaborative Research: Towards Reliable, Energy-Efficient, and Secure Vehicular Networks

通用车辆网络系统（VNS），其中车辆自组织网络（VANET）与混合动力电动汽车（HEV）集成，使智能交通系统（ITS）的应用范围广泛。现有的研究大多针对不同的案例，缺乏连贯性，很难形成一个有效的体系。该项目旨在通过五个互补的研究轨道开发一个可靠，节能和安全的VNS：基础设施优化，可靠网络性能的协议设计，节能VNS，安全和隐私配置以及虚拟现场测试平台开发。该项目预计将通过解决一些基础研究问题，显着推进VANET研究的艺术状态。分析模型的开发，以研究路边的基础设施部署，网络协议和控制算法的最佳性能，考虑到移动性，干扰和数据流量动态的复杂问题。为了提高多跳车载网络的吞吐量，研究了多无线电多信道环境下动态网络拓扑的吞吐量优化控制问题。通过利用VNET和HEV之间的相互作用来寻求节能解决方案。 可扩展的安全协议具有较小的计算和通信开销的VANET提供安全和隐私。拟议的研究无缝地整合了优化，概率和随机过程，图论，无线网络，HEV技术以及计算机模拟等领域的研究和教育活动。本计画所提出之研究，具有很好的潜力，可以转化为实际的网路协定或控制演算法。

The general vehicular networking system (VNS), where the vehicular ad hoc network (VANET) is integrated with hybrid electric vehicles (HEVs), enables a wide range of intelligent transportation system (ITS) applications. With different visions on VANETs, most of the existing studies provide case-specific solutions in an incoherent manner, which can hardly be integrated into an effective system. This project aims at developing a reliable, energy-efficient, and secure VNS with a synergetic approach through five complementary research tracks: infrastructure optimization, protocol design for reliable networking performance, energy-efficient VNS, security and privacy provisioning, and virtual-field testbed development. This project is expected to significantly advance the state of the art of VANET research by addressing some fundamental research issues. Analytical models are developed to study the road-side infrastructure deployment, networking protocols and control algorithms for optimal performance, considering the complex issues of mobility, interference, and data traffic dynamics. The throughput-optimal control in a multi-radio multi-channel context with dynamic network topology is studied to improve the throughput over a multi-hop vehicular network. Energy-efficient solutions are pursued by exploiting the interplay between the VNET and HEVs. Scalable security protocols with small computation and communication overhead are developed to provision security and privacy in VANET. The proposed research seamlessly integrates research and education activities in the areas of optimization, probability and random process, graph theory, wireless networking, HEV technologies, as well as computer simulations. The research proposed in this project has a good potential to be transformed into practical protocols or control algorithms for VANETs.