SST: Enabling wireless sensor networks for monitoring of critical air pollutants

0529063 Lu该项目的目标是整合无线传感器和数据管理算法的最新发展，以监测关键空气污染物，并研究交通排放对地面臭氧水平的影响。该网络将位于辛辛那提大学的两个相邻校区，这两个校区位于两条主要的州际公路之间，并被当地道路包围。若干固定的空气污染源也位于网络站点附近。目标污染物是NOx和臭氧。这些组成部分的无线传感器将通过将气体探测器与信号转换器和发射器集成在一起来构建，这些信号转换器和发射器连接到数据聚合器，将数据传递到中央控制器。将研究采样频率、传感器维护、数据处理、传输、查询和可扩展性等问题，以确保网络的有效运作和产生有意义的数据。这项研究有可能对空气质量监测网络的进一步发展产生积极影响，并促进移动的传感器在新的应用领域的使用。拟议的传感器网络将作为受严重影响的城市地区的网络模型，并为设计和部署其他类型的环境观测网络提供有用的信息。本研究将解决的问题有广泛的相关性，部署在自然和建筑环境中的无线传感器网络。

0529063 Lu The goal of this project is to integrate recent developments in wireless sensors and data management algorithms to monitor critical air pollutants and study the effects of traffic emissions on ground-level ozone levels. The network will be located on the two adjacent campuses of the University of Cincinnati, which are situated between two major interstate highways and surrounded by local roads. Several stationary sources of air pollutants also are located in the vicinity of the network site. The targeted pollutants are NOx and ozone. Wireless sensors for these constituents will be constructed by integrating gas detectors with signal converters and transmitters linked to data aggregators that will pass the data to a central controller. Issues of sampling frequency, sensor maintenance, data processing, transfer, querying, and scalability will be studied to ensure effective functioning of the network and the production of meaningful data. This research has the potential to positively influence the further development of air quality monitoring networks and promote the use of mobile sensors in new application areas. The proposed sensor network will serve as a model for networks in heavily impacted urban areas and provide useful information for designing and deploying other types of environmental observing networks. Issues this study will address have broad relevance to deployment of wireless sensor networks in natural and built environments.