Collaborative Research: CSR---CSI: A Virtual Sensor Network Based

合作研究：CSR---CSI：基于虚拟传感器网络

• 批准号: 0720889
• 负责人: Anura Jayasumana
• 金额: $ 19.92万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720889&HistoricalAwards=false
• 关键词: Collaborative; Research; CSR; CSI; Virtual

Release of chemicals or biological agents in the subsurface often results in plumes migrating in the medium, posing risk to human and ecological environments. Temporal and spatial monitoring of the plume concentrations are needed to assess risk, make decisions and take remedial action. Current underground contaminant plume monitoring technologies are inefficient, expensive and ineffective. Wireless sensor technologies have the potential to dramatically improve this process. A closed-loop system integrating wireless sensor network based monitoring with numerical models for plume tracking is being developed, in which sensor data continuously calibrates and validates the system identification and prediction models, while the output from these models direct the sensor network operation to optimize constraints such as accuracy and power consumption. The system is based on a novel virtual sensor network architecture with broader applicability beyond plume tracking. Algorithms and protocols being developed support the formation, usage, adaptation and maintenance of dynamic subsets of collaborating sensors, named Virtual Sensor Networks (VSNs). VSN protocols for collaboration among groups of sensors will greatly ease the task of deploying sensor networks, especially in environments where multiple geographically overlapping applications are deployed. A proof-of-concept laboratory test bed that captures the complex subsurface processes is used for integration and evaluation of VSN protocols. This interdisciplinary project will significantly advance the state-of-the art in subsurface plume tracking and sensor networking technologies. It will stimulate a unique partnership of electrical engineers, computer scientists and environmental researchers, and demonstrate closed-loop operation of computer models and sensor networks to solve complex environmental problems.

地下化学物质或生物制剂的释放通常会导致羽流在介质中迁移，对人类和生态环境构成风险。需要对羽流浓度进行时间和空间监测，以评估风险、做出决策并采取补救措施。目前的地下污染物羽流监测技术效率低下、昂贵且无效。无线传感器技术有可能显着改善这一过程。正在开发一种将基于无线传感器网络的监测与羽流跟踪数值模型相结合的闭环系统，其中传感器数据不断校准和验证系统识别和预测模型，而这些模型的输出指导传感器网络运行以优化约束例如精度和功耗。 该系统基于新颖的虚拟传感器网络架构，具有超越羽流跟踪的更广泛的适用性。正在开发的算法和协议支持协作传感器动态子集的形成、使用、适应和维护，称为虚拟传感器网络（VSN）。 用于传感器组之间协作的 VSN 协议将极大地简化部署传感器网络的任务，特别是在部署多个地理重叠应用程序的环境中。 捕获复杂地下过​​程的概念验证实验室测试台用于 VSN 协议的集成和评估。 这个跨学科项目将显着推进地下羽流跟踪和传感器网络技术的最先进水平。它将促进电气工程师、计算机科学家和环境研究人员之间的独特合作，并演示计算机模型和传感器网络的闭环运行，以解决复杂的环境问题。