基于无人车系统和无线传感器节点的异构传感器网络运行支撑平台

E. P. Freitas, R. Allgayer, M. A. Wehrmeister, C. Pereira, Tony Larsson
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引用次数: 11

摘要

车辆智能技术的进步使无人驾驶车辆组成的系统得以发展,无人驾驶车辆能够与散布在环境中的设备进行交互,以便做出与其运动相关的决策。传感器网络代表了一个可以从这种新的可能性中获益良多的领域,因为自动驾驶汽车可以用来携带传感器设备,这些设备与静态传感器节点交互可以增强整个系统提供的结果。然而,由于网络节点的异构性和部署环境的动态性,在这种系统中,应用程序的开发出现了一些问题。因此,需要新的平台解决方案来处理异构节点功能,以促进它们之间的协调和集成。本文提出了一种由自适应中间件和可定制传感器节点平台组成的支持基础架构来解决这些问题。目标是支持异构传感器网络中的协作,这些网络由具有不同功能的静态和移动节点组成。中间件会自我调整以管理节点的不同计算资源,并根据环境和应用程序需求进行调整。可定制的传感器节点平台允许优化硬件/软件模块,以满足特定的应用需求,允许创建在集成网络中工作的低端和资源丰富的节点。为了说明所提出的方法,以一个军事监视应用系统为例进行了研究。
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Supporting platform for heterogeneous sensor network operation based on unmanned vehicles systems and wireless sensor nodes
Advances in vehicle intelligence technology is enabling the development of systems composed of unmanned vehicles, which are able to interact with devices spread on the environment in order to take decisions related to their movements. Sensor networks represent an area that can profit a lot of this new possibilities, as autonomous vehicles can be used to carry sensor devices, which interacting with static sensor nodes can enhance the results provided by the overall system. However, some problems arise in applications' development in such systems due to the network nodes heterogeneity, and also the dynamicity of the environment in which they are deployed, which changes constantly. Thus, new platform solutions are necessary to handle the heterogeneous nodes capabilities in order to facilitate coordination and integration among them. This paper proposes a supporting infrastructure to address these problems composed of an adaptive middleware and a customizable sensor node platform. The goal is to support cooperation in heterogeneous sensor networks, which are composed by static and mobile nodes with different capabilities. The middleware adapts itself in order to manage the very distinct computing resources of the nodes, and also changes in the environment and in the application demands. The customizable sensor node platform allows optimizations in hw/sw modules to meet specific application requirements, allowing the creation of low-end and resource rich nodes that work in an integrated network. In order to illustrate the proposed approach, a system for military surveillance applications is presented as case study.
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