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Application specific sensor node architecture optimization—Experiences from field deployments

机译:特定于应用程序的传感器节点体系结构优化-现场部署的经验

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The Mote architecture is the most popular platform used in wireless sensor network applications. In this architecture, microcontroller is responsible for all jobs, such as scheduling, sampling, computing, and communication. In the past one year, two practical applications: bridge structural health monitoring system and rare animal monitoring system are developed and deployed in Wuxi and Beijing, China. It is found that Mote architecture faces many problems in these applications. First, sampling, computing, and communication conflicts with each other if they are not carefully scheduled; second, some jobs are very difficult even impossible to be implemented in the microcontroller; third, low power, one of the most fundamental design principles in wireless sensor networks, is sometimes violated with all jobs implemented in the microcontroller. Software optimization is attempted to solve these problems. However, the effect is very limited. Application specific sensor node architecture is necessary for implementing these applications efficiently. In this paper, we propose new application specific sensor node architecture and corresponding design principles and then applied them in the field deployments. Experimental and field tests show that these architectures are more efficient than Mote architecture in these applications.
机译:Mote体系结构是在无线传感器网络应用中使用的最受欢迎的平台。在这种架构中,微控制器负责所有工作,例如调度,采样,计算和通信。在过去的一年中,在中国无锡和北京开发并部署了两个实际应用:桥梁结构健康监测系统和稀有动物监测系统。已经发现,Mote架构在这些应用中面临许多问题。首先,如果采样,计算和通信安排不当,则会相互冲突。第二,有些工作非常困难,甚至不可能在微控制器中实现。第三,低功耗是无线传感器网络中最基本的设计原理之一,有时会因微控制器中执行的所有工作而受到侵犯。尝试软件优化来解决这些问题。但是,效果非常有限。特定于应用程序的传感器节点体系结构对于有效地实现这些应用程序是必需的。在本文中,我们提出了新的专用传感器节点体系结构和相应的设计原理,然后将其应用于现场部署。实验和现场测试表明,在这些应用中,这些架构比Mote架构更有效。

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