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A comparison of static and dynamic component models for Wireless Sensor Networks

机译:无线传感器网络静态和动态组件模型的比较

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摘要

In this paper we provide a detailed discussion and evaluation of the theoretical and practical differences between static and dynamic component models as the foundations of programming wireless sensor nodes. As the static benchmark we examine the nesC component model underpinning TinyOS; and as the dynamic benchmark we examine the OpenCom component model underpinning the Lorien operating system. Both models are well established in their respective domains and have at least 2nd generation implementations available. We identify 4 key mechanisms required by the dynamic approach beyond those needed by the static approach, and using the TelosB implementations of both models we demonstrate the performance differences involved in the support of each of these mechanisms. We conclude that while the static approach has inevitably better performance, the overhead of the dynamic approach is suffciently low that it is a promising foundation in support of future WSN research in dynamic and adaptive systems.
机译:在本文中,我们将对静态和动态组件模型之间的理论和实际差异进行详细的讨论和评估,以此作为对无线传感器节点进行编程的基础。作为静态基准,我们研究了TinyOS背后的nesC组件模型。作为动态基准,我们研究了支持Lorien操作系统的OpenCom组件模型。两种模型都在各自的领域中建立良好,并且至少有第二代实施方案可用。我们确定了动态方法所需的4种关键机制,而不是静态方法所需的4种关键机制,并且使用这两种模型的TelosB实现,我们证明了每种机制的支持所涉及的性能差异。我们得出的结论是,尽管静态方法不可避免地具有更好的性能,但动态方法的开销却很低,因为它为支持未来的动态和自适应系统中的WSN研究提供了有希望的基础。

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