Social Network-based Data Dissemination in Vehicular Sensor Networks to Support Distributed Monitoring Services

车辆传感器网络中基于社交网络的数据传播支持分布式监控服务

• 批准号: 436077-2013
• 负责人: Pazzi, Richard
• 金额: $ 1.46万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=533421
• 关键词: Social; Network; based; Data; Dissemination

The convergence of vehicle and sensor networks offers viable means for data dissemination to distributed services such as traffic monitoring, safety warnings, infotainment, and proactive surveillance of roads and streets. However, data dissemination in vehicular sensor networks (VSNs) is a challenging task due to high mobility of vehicles; frequent network topology changes; high volume of data; and different data dissemination and application requirements. For instance, most safety warning applications will require fast and reliable data delivery to nearby vehicles, which can be achieved by local broadcasts. A monitoring service may require continuous data delivery to a region or command centre, in which the use of broadcasts would not be feasible or efficient. Thus, another challenge lies in adapting on-the-fly to the best data dissemination approach depending on the different vehicle or user's interests.

车辆和传感器网络的融合为分布式服务提供了可行的数据传播手段，如交通监控、安全警告、信息娱乐以及道路和街道的主动监控。然而，由于车辆的高机动性、网络拓扑结构的频繁变化、数据量大以及不同的数据分发和应用需求，车载传感器网络（VSNs）中的数据分发是一项具有挑战性的任务。例如，大多数安全警告应用需要向附近的车辆快速可靠地传输数据，这可以通过本地广播来实现。监测服务可能需要向一个地区或指挥中心连续提供数据，在这些地区或指挥中心，使用广播既不可行也不有效。因此，另一个挑战在于根据不同的车辆或用户的兴趣动态地适应最佳数据传播方法。