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Measuring air quality in city areas by vehicular wireless sensor networks

机译:通过车载无线传感器网络测量城市地区的空气质量

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摘要

This paper considers a micro-climate monitoring scenario, which usually requires deploying a large number of sensor nodes to capture environmental information. By exploiting vehicular sensor networks (VSNs), it is possible to equip fewer nodes on cars to achieve fine-grained monitoring. Specifically, when a car is moving, it could conduct measurements at different locations, thus collecting lots of sensing data. To achieve this goal, this paper proposes a VSN architecture to collect and measure air quality for microclimate monitoring in city areas, where nodes' mobility may be uncontrollable (such as taxis). In the proposed VSN architecture, we address two network-related issues: (1) how to adaptively adjust the reporting rates of mobile nodes to satisfy a target monitoring quality with less communication overhead and (2) how to exploit opportunistic communications to reduce message transmissions. We propose algorithms to solve these two issues and verify their performances by simulations. In addition, we also develop a ZigBee-based prototype to monitor the concentration of carbon dioxide (CO2) gas in city areas.
机译:本文考虑了一种微气候监控方案,该方案通常需要部署大量传感器节点来捕获环境信息。通过利用车辆传感器网络(VSN),可以在汽车上装备更少的节点来实现细粒度的监视。具体来说,当汽车行驶时,它可以在不同的位置进行测量,从而收集大量的传感数据。为了实现此目标,本文提出了一种VSN架构,以收集和测量空气质量,以在节点的移动性可能无法控制的城市地区(例如出租车)进行微气候监测。在提出的VSN架构中,我们解决了两个与网络相关的问题:(1)如何自适应地调整移动节点的报告速率,以在通信开销较小的情况下满足目标监视质量;(2)如何利用机会通信来减少消息传输。我们提出了解决这两个问题的算法,并通过仿真验证了它们的性能。此外,我们还开发了基于ZigBee的原型,以监控城市地区的二氧化碳(CO2)气体浓度。

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