Data gathering in vehicular networks: The VESPA experience
Data gathering in vehicular networks: The VESPA experience
复制标题
DOI：
10.1109/lcn.2011.6115554
复制
发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Thierry Delot;Sergio Ilarri
中科院分区：
文献类型：
--
作者：
Thierry Delot;Sergio Ilarri
人们对智能交通系统和车辆网络的兴趣正在上升。在本文中，我们概述了 VESPA 的发展，这是我们正在开发的一个系统，用于在车辆间自组织网络中共享信息（例如，有关可用停车位、道路上的事故或障碍物、紧急制动、紧急车辆请求通行权等的信息）。我们总结了迄今为止我们考虑过的研究挑战以及仍然面临的困难。这包括 VESPA 中使用的基于推送的基本方法、为避免稀缺资源（例如停车位）的竞争而提出的资源分配政策，以及用于知识提取的数据聚合技术的开发。此外，我们还分析了我们当前和未来的工作，重点是不同数据源的开发和基于拉的查询处理、多媒体信息的管理以及查询结果的路由。
The interest of intelligent transportation systems and vehicular networks is on the rise. In this paper, we present an overview of the development of VESPA, a system that we are developing for vehicles to share information (e.g., information about available parking spaces, accidents or obstacles in the road, emergency brakings, emergency vehicles asking the right of way, etc.) in inter-vehicle ad hoc networks. We summarize the research challenges that we have considered so far and the difficulties that still lie ahead. This includes the basic push-based approach used in VESPA, the resource allocation policy proposed to avoid competition in the access to scarce resources (such as parking spaces), and the development of data aggregation techniques for knowledge extraction. Besides, we also analyze our current and future work, which focuses on the exploitation of different data sources and pull-based query processing, the management of multimedia information, and the routing of query results.