NeTS-Small: Real-Time Participatory Vehicular Sensing

车载传感应用，如b谷歌流行的街景服务，为经济有效地监测城市和郊区环境提供了巨大的机会。有了参与式传感，每个人都可以贡献自己的数据，这种潜力甚至会进一步增长，可能会达到街景类型的图像可以被记录和实时分发的程度，而不是每隔几年收集一次。然而，到目前为止，这种应用程序的总带宽需求甚至远远超过了仍在设计阶段的最快的蜂窝数据服务。本项目研究了处理即将到来的数据泛滥的替代策略，包括网络内存储、分布式查询处理和使用极高速本地无线链路的车对车通信。该项目的预期结果包括：-高效的、gps辅助的、车对车通信和网络存储的网络和链路层机制，-在城市环境中对上述机制进行实验演示和评估，以及-移动车辆传感器网络存储和通信能力的分析和模拟，-软件产品的开源版本。

Vehicular sensing applications, such as the popular StreetView service by Google, offer tremendous opportunities for cost effectively monitoring urban and suburban environments. With participatory sensing, where individuals are able to contribute their own data, this potential grows even further, possibly to a point where StreetView type imagery could be recorded and distributed in near real-time, as opposed to collected once every few years.However, the aggregate bandwidth requirements of such an application by far surpass even the fastest cellular data services still on the drawing board. This project investigates alternative strategies for dealing with this coming data deluge, including in-network storage, distributed query processing, and vehicle-to-vehicle communication using extremely high-speed local wireless links. The anticipated results of the project include:- network and link layer mechanisms for efficient, GPS-assisted, vehicle to vehicle communication and in-network storage,- experimental demonstration and evaluation of said mechanisms in urban environments, and- analysis and simulation of the storage and communication capacity of mobile vehicular sensor networks,- open-source releases of software artifacts produced.