Biodiversity and Ecosystem Informatics - BDEI - Reconfigurable Wireless Sensor Networks for Dense Spatio-Temporal Environmental Monitoring

EIA-0131691 Flikkema，Paul北方亚利桑那大学BDEI：用于密集时空环境监测的可重构无线传感器网络摘要提高对生态系统过程的理解需要获得高空间分辨率的多分量时间序列。当前的环境感测系统通常依赖于独立的数据记录器或有线传感器阵列。依赖于这些系统的研究和资源管理目前受到初始成本和/或获取数据所需努力的限制。该项目的核心是将尖端的低成本电路和系统技术集成到基于可演进架构的无线环境传感网络中，以满足当前和关键的需求：大幅提高覆盖范围和空间密度，同时大幅降低总成本。该第一代网络还将作为无线传感器网络基础研究的实验测试平台，以环境监测应用的独特特性为目标。该研究包括时空相关向量过程的分布式自适应信源编码，层间交互的多跳协议，以及能量受限多跳网络的编码宏分集。由于该项目汇集了无线网络和生态系统和小气候研究人员，它也提供了一个机会，启动一个新的跨学科研究计划的发展：生态系统科学和信息学。该计划将教育新一代学生，他们可以开发和使用生态系统监测和建模技术。

EIA-0131691Flikkema, Paul Northern Arizona UniversityBDEI: Reconfigurable Wireless Sensor Networks for Dense Spatio-Temporal Environmental MonitoringSummaryImproving understanding of ecosystem processes requires the acquisition of multi-componentenvironmental time series at high spatial resolution. Current environmental sensing systems typically rely on stand alone data loggers or wired sensor arrays. Research and resource management that depend on suchsystems are currently limited by initial cost and/or the effort required to acquire the data. The nexus of this project is to integrate cutting-edge, low-cost circuit and system technology into a wireless environmental sensing network based on an evolvable architecture that will meet an immediate and critical need: to dramatically improve coverage and spatial density while greatly reducing the total cost. This first-generation network will also serve as an experimental testbed for fundamental research in wireless sensor networking that targets the unique characteristics of environmental monitoring applications. This research includes distributed, adaptive source coding of spatio-temporally correlated vector processes, multi-hop protocols with inter-layer interaction, and coded macrodiversity for energy-constrained multi-hop networks.Since this project brings together wireless networking and ecosystems and microclimate researchers, it also provides an opportunity to initiate the development of a new interdisciplinary program of study: Ecosystem Sciences and Informatics. This program will educate a new generation of students who can develop and use technology for ecosystem monitoring and modeling.