生境监测:无线通信技术的应用驱动

Alberto Cerpa, J. Elson, Michael Hamilton, Jerry Zhao, D. Estrin, Lewis Girod
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引用次数: 79

摘要

随着新的制造和集成技术降低微传感器和无线接口的成本和尺寸,部署密集分布的传感器和执行器无线网络成为可能。这些系统有望彻底改变生物、地球和环境监测应用,提供其他方法无法实现的粒度数据。除了小型化的挑战之外,必须开发新的系统架构和新的网络算法,以将大量原始传感器数据转换为可管理的高级数据流。为了解决这个问题,我们提出了一种分层系统架构,在这种架构中,从众多廉价的传感器节点收集的数据在传输到更大、更有能力、更昂贵的节点时,通过本地处理进行过滤。我们简要地将生境监测作为我们的激励应用程序,并介绍为支持该应用程序而设计的初始系统构建块。本文的其余部分介绍了我们的实验平台的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Habitat monitoring: application driver for wireless communications technology
As new fabrication and integration technologies reduce the cost and size of micro-sensors and wireless interfaces, it becomes feasible to deploy densely distributed wireless networks of sensors and actuators. These systems promise to revolutionize biological, earth, and environmental monitoring applications, providing data at granularities unrealizable by other means. In addition to the challenges of miniaturization, new system architectures and new network algorithms must be developed to transform the vast quantity of raw sensor data into a manageable stream of high-level data. To address this, we propose a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes. We briefly Habitat monitoring as our motivating application and introduce initial system building blocks designed to support this application. The remainder of the paper presents details of our experimental platform.
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