Robust QoS Control of DSRC Vehicle Networks for Collaborative Road Safety Applications

用于协作道路安全应用的 DSRC 车辆网络的鲁棒 QoS 控制

基本信息

批准号：
EP/I010157/1
负责人：
Jianhua He
金额：
$ 12.88万
依托单位：
Swansea University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2011
资助国家：
英国
起止时间：
2011 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FI010157%2F1
关键词：
Robust QoS Control DSRC Vehicle

项目摘要

Road traffic safety has been a subject of worldwide concern. The annual national lost due to road accidents is tremendously high. During the last decade extensive efforts have been made on road safety systems to actively prevent accidents or passively minimize the consequences of accidents. With the advances in wireless communications and mobile ad hoc networking, the so-called collaborative safety applications (CSA) enabled by vehicular communications is widely regarded as a key to future road safety [19]. Equipped with inter-vehicle communication (IVC) and GPS, vehicles can assist drivers to recognize events that can not be detected by the drivers or local sensors alone. For example, a vehicle broken in highway can use IVC to inform the following vehicles the emergency event and avoid possible collisions. Apart from safety applications, a wide range of non-safety applications can also be deployed over vehicle networks, e.g. efficient route planning to reduce fuel consumption and carbon emission. Dedicated short range communications (DSRC) is a leading technique for IVC. It is regarded as the only technology able to provide a robust medium and affordable enough to build large scale CSA. Small scale field tests have demonstrated the communication capabilities of DSRC for CSA. However, CSA will not be effective unless a large proportion of vehicles are equipped with IVC. For the success of large scale CSA a critical issue is how to provide efficient and robust QoS support over DSRC vehicle networks. The reason is that safety messages generated by CSA have very strict QoS requirements in terms of throughput, reliability and delay. Excessive delay and message losses can nullify proper CSA operations and even produce negative unanticipated consequences. However providing effective and robust QoS support for CSA is very challenging. Existing research work on CSA has been primarily focused on the feasibility study of DSRC from the lower layers (physical and MAC layers) by field test or simulation approaches, while efficient QoS control of DSRC networks for CSA QoS support has not been studied. There is a big gap between the capabilities provided by DSRC at the lower layers and QoS support required by large scale CSA. This project aims to develop solutions for robust and bandwidth-efficient DSRC QoS control schemes to provide QoS support for large scale CSA, which is of utmost importance to practical CSA deployment. We will focus our work on two closely related tasks: (a) development of state of the art offline analytical and optimization tools for QoS support of large scale CSA and service planning purposes. Here offline means global network knowledge available for QoS control decisions. The tools will be developed based on Markov chain, queuing theory and water-filling method; and (b) development of novel online robust and bandwidth efficient congestion control schemes to provide QoS support, where transmit power and message rate are jointly controlled with cross-layer interaction, feedback and vehicle cooperation. Only localized knowledge is available for online QoS control. The insights into QoS support obtained in task (a) will be feed into the online control scheme design in task (b). The proposed research is novel and built upon the expertise of the investigator and his research group in the field of network performance modeling, network protocols design and optimization. To the best of our knowledge, the proposed work is the first of its kind on the robust congestion control and QoS support of DSRC networks. The implications of this research are expected to contribute directly to DSRC network QoS support in both theory and applications sides, which will eventually contribute to realize safe, environment friendly and comfortable driving.

道路交通安全一直是全球关注的主题。由于道路事故而导致的年度全国损失非常高。在过去的十年中，在道路安全系统上进行了广泛的努力，以积极防止事故或被动地最大程度地减少事故的后果。随着无线通信和移动临时网络的进步，由车辆通信启用的所谓协作安全应用程序（CSA）被广泛认为是未来道路安全的关键[19]。配备了车间通信（IVC）和GPS，车辆可以帮助驾驶员识别驾驶员或本地传感器无法检测到的事件。例如，在高速公路上损坏的车辆可以使用IVC通知以下车辆紧急事件并避免可能的碰撞。除了安全应用外，还可以通过车辆网络部署多种非安全应用程序，例如有效的路线计划，以减少燃油消耗和碳排放。专用的短距离通信（DSRC）是IVC的领先技术。它被认为是唯一能够提供强大的媒介并且负担得起的技术，足以构建大型CSA。小规模现场测试证明了DSRC在CSA中的通信能力。但是，除非大部分车辆配备IVC，否则CSA将不会有效。对于大规模CSA的成功，一个关键的问题是如何在DSRC车辆网络上提供高效且健壮的QoS支持。原因是CSA生成的安全消息在吞吐量，可靠性和延迟方面具有非常严格的QoS要求。过度的延迟和消息损失会使适当的CSA操作无效，甚至会产生负面的意外后果。但是，为CSA提供有效且强大的QoS支持是非常具有挑战性的。现有关于CSA的研究工作主要集中在通过现场测试或模拟方法对DSRC（物理和MAC层）的可行性研究，而对CSA QoS支持的DSRC网络的有效QoS控制尚未研究。 DSRC在下层提供的功能与大型CSA所需的QoS支持之间存在很大的差距。该项目旨在为强大和带宽有效的DSRC QoS控制方案开发解决方案，以为大型CSA提供QoS支持，这对于实际CSA部署至关重要。我们将把工作重点放在两个密切相关的任务上：（a）开发最新的分析和优化工具，以支持大规模CSA和服务计划目的。在这里，脱机意味着可用于QoS控制决策的全球网络知识。这些工具将根据马尔可夫链，排队理论和填充水方法开发；（b）开发新颖的在线鲁棒和带宽有效的拥塞控制方案，以提供QoS支持，其中传输功率和消息速率由跨层互动，反馈和车辆合作共同控制。只有本地化知识可用于在线QoS控制。任务（a）中获得的QoS支持的见解将是任务（b）中的在线控制方案设计。拟议的研究是新颖的，并建立在研究人员及其在网络性能建模，网络协议设计和优化领域的专业知识上。据我们所知，拟议的工作是DSRC网络强大的拥堵控制和QoS支持的第一项此类工作。预计这项研究的含义将直接为理论和应用方面的DSRC网络QoS支持做出贡献，这最终将有助于实现安全，环境友好和舒适的驾驶。