NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks
NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks
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DOI：
10.1016/j.jnca.2011.08.006
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发表时间：
2012
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影响因子：
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通讯作者：
Eduardo Cañete;Jaime Chen;Rafael Marcos Luque Baena;B. Rubio
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文献类型：
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作者：
Eduardo Cañete;Jaime Chen;Rafael Marcos Luque Baena;B. Rubio
无线传感器和执行者网络（WSAN）构成了一种新的分布式计算方式，并由于可以使用它们实现的各种应用而逐渐变得重要。因此，它们越来越多地出现在任何地方（工业、农业用途、建筑物等）。然而，WSAN仍然有许多重要的领域可以改进。其中最重要的一个方面是给传感器网络的无线重新编程的能力，使开发人员不必与传感器节点的物理交互。已经提出了许多解决这个问题的建议，但其中大多数几乎不依赖于操作系统，并且需要高能耗，即使代码中只有很小的变化。在这项工作中，我们提出了一种基于神经网络概念的无线重编程新方法。与大多数现有的方法不同，我们的建议是独立的操作系统，并允许小块的代码被重新编程，以低能耗。开发的架构，以实现这一目标的描述和案例研究，显示使用我们的建议，通过实际的例子。
Wireless Sensor and Actor Networks (WSANs) constitute a new way of distributed computing and are steadily gaining importance due to the wide variety of applications that can be implemented with them. As a result they are increasingly present everywhere (industry, farm use, buildings, etc.). However, there are still many important areas in which the WSANs can be improved. One of the most important aspects is to give the sensor networks the capability of being wirelessly reprogrammed so that developers do not have to physically interact with the sensor nodes. Many proposals that deal with this issue have been proposed, but most of them are hardly dependent on the operating system and demand a high energy consumption, even if only a small change has been made in the code. In this work, we propose a new way of wirelessly reprogramming based on the concept of neural networks. Unlike most of the existing approaches, our proposal is independent of the operating system and allows small pieces of code to be reprogrammed with a low energy consumption. The architecture developed to achieve that is described and case studies are presented that show the use of our proposal by means of practical examples.