环境电子科学中的认知分布式网络

Ramesh Bharadwaj, S. Mukhopadhyay, Manuel Peralta, K. Shenai, S. Majumder
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引用次数: 4

摘要

我们整合了形式数学,工程学和信息科学的基本原理,以开发用于环境和自然生态系统管理的新型分布式传感器网络。更准确地说,我们正在开发ENVNET -环境传感器网络,这是一个认知无线传感器网络,可以主动收集信息,监测和控制我们的自然环境和生态系统(包括水,土壤,空气等)的健康状况。它集成了智能传感器协调和数据融合技术,以一种特殊的方式访问、检索、处理和通信不同的无线传感器,以提供动态决策并提供足够的信息管理。我们的方法促进了大规模部署,大大降低了硬件成本,几乎降低了10倍,并消除了有线传感器引起的灌溉控制的主要瓶颈。除此之外,它还提供了一种智能的分布式闭环控制机制,具有正式的可靠性保证,可以快速轻松地部署、上下文感知、可扩展和动态可重构,以响应不断变化的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Distributed Networks in Environmental e-Science
We integrate fundamental principles from formal mathematics, engineering, and information sciences to develop novel distributed sensor-based networks for management of the environment and the natural ecosystem. More precisely, we are developing ENVNET - ENVironmental sensor NETwork, a cognitive wireless sensor network to proactively collect information, monitor, and control the health of our natural environment and ecosystem (that includes, water, soil, air, etc.). It integrates intelligent sensor coordination and data fusion techniques to access, retrieve, process, and communicate with disparate wireless sensors in an ad-hoc manner to deliver dynamic decisions and provide adequate information management. Our approach facilitates large scale deployment and drastically reduces the hardware cost almost by a factor of 10 and removes the main bottleneck in irrigation control arising from wired sensors. Apart from this it provides a smart distributed closed-loop control mechanism with formal reliability guarantees that is rapidly and easily deployable, context-aware, scalable, and dynamically reconfigurable in response to changing requirements.
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