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

flikkema， Paul北亚利桑那大学，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在高空间分辨率下获取多组分环境时间序列。当前的环境传感系统通常依赖于独立的数据记录仪或有线传感器阵列。依赖此类系统的研究和资源管理目前受到初始成本和/或获取数据所需的努力的限制。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进化架构的无线环境传感网络中，该网络将满足当前和关键的需求：显着提高覆盖范围和空间密度，同时大大降低总成本。这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，针对环境监测应用的独特特征。本研究包括时空相关矢量过程的分布式自适应源编码、层间交互的多跳协议以及能量约束多跳网络的编码宏分集。由于该项目汇集了无线网络、生态系统和小气候研究人员，它也提供了一个机会来启动一个新的跨学科研究项目的发展：生态系统科学和信息学。该项目将培养能够开发和使用生态系统监测和建模技术的新一代学生。

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.