Illinois vehicular project, live data sampling and opportunistic internet connectivity

R. Crepaldi, Ryan Beavers, Braden Ehrat, R. Kravets
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引用次数: 6

Abstract

Embedded sensors in mobile devices such as cars and smart phones present new opportunities to collect data and explore a new environment. Vehicular Networks are highly mobile and widely spread, and the broad deployment of embedded sensors will lead to the establishment of large participatory sensing systems and enable the generation of large amounts of data. A major challenge is efficiently collecting, storing and sharing all this data. Vehicular networks present several bottlenecks that must be considered. Data could be kept locally using the network as a distributed storage system. However, the high mobility and frequent disconnection could cause a continuos migration of data, and possibly its loss. Replication is a possible solution to this problem, using ad-hoc connections between vehicles. Additionally, capacity is also a challenge. Using a mobile connection such as 3G or WiMax, the information can be uploaded and retrieved from a central storage unit. However, those networks are already pushed to the limit to serve existing mobile Internet access. The increasing number of devices generating data and the rates at which this data is generated will quickly overwhelm the infrastructure. On the other hand, energy efficiency might not be a primary concern for vehicles, given that when a vehicle is on, it generates enough energy for full-power radio operation. Nevertheless, a vehicle can be parked for several days, and thus the power for communication would drain the battery. Thus, even in vehicular networks, energy efficient protocols can and sometimes must be used. Efforts to tackle these challenges led to the design of systems such as Locus [4]. However, it is still not fully understood how will these heavy sensing tasks, the peer to peer communication, and the energy efficiency interact. To anServer
伊利诺伊州汽车项目,实时数据采样和机会网络连接
汽车和智能手机等移动设备中的嵌入式传感器为收集数据和探索新环境提供了新的机会。车载网络具有高度移动性和广泛的传播性,嵌入式传感器的广泛部署将导致大型参与式传感系统的建立,并使大量数据的产生成为可能。一个主要的挑战是有效地收集、存储和共享所有这些数据。车载网络存在几个必须考虑的瓶颈。数据可以使用网络作为分布式存储系统保存在本地。然而,高移动性和频繁的断开可能会导致数据的持续迁移,并可能导致数据丢失。复制是这个问题的一个可能的解决方案,它使用车辆之间的临时连接。此外,容量也是一个挑战。使用3G或WiMax等移动连接,可以上传和从中央存储单元检索信息。然而,这些网络已经达到了服务现有移动互联网接入的极限。生成数据的设备数量的增加以及生成数据的速度将很快使基础设施不堪重负。另一方面,能源效率可能不是车辆的主要关注点,因为当车辆启动时,它会产生足够的能量来进行全功率无线电操作。然而,一辆车可以停放几天,因此通信的电力会耗尽电池。因此,即使在车辆网络中,节能协议也可以而且有时必须使用。解决这些挑战的努力导致了诸如Locus[4]等系统的设计。然而,这些繁重的传感任务、点对点通信和能源效率如何相互作用仍然没有完全理解。对anServer
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