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Localized and Energy-Efficient Topology Control in Wireless Sensor Networks Using Fuzzy-Logic Control Approaches

机译：使用模糊逻辑控制方法的无线传感器网络中的局部节能型拓扑控制

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摘要

The sensor nodes in the Wireless Sensor Networks (WSNs) are prone to failures due to many reasons, for example, running out of battery or harsh environment deployment; therefore, the WSNs are expected to be able to maintain network connectivity and tolerate certain amount of node failures. By applying fuzzy-logic approach to control the network topology, this paper aims at improving the network connectivity and fault-tolerant capability in response to node failures, while taking into account that the control approach has to be localized and energy efficient. Two fuzzy controllers are proposed in this paper: one is Learning-based Fuzzy-logic Topology Control (LFTC), of which the fuzzy controller is learnt from a training data set; another one is Rules-based Fuzzy-logic Topology Control (RFTC), of which the fuzzy controller is obtained through designing if-then rules and membership functions. Both LFTC and RFTC do not rely on location information, and they are localized. Comparing them with other three representative algorithms (LTRT, List-based, and NONE) through extensive simulations, our two proposed fuzzy controllers have been proved to be very energy efficient to achieve desired node degree and improve the network connectivity when sensor nodes run out of battery or are subject to random attacks.
机译：无线传感器网络（WSN）中的传感器节点由于多种原因而容易出现故障，例如，电池电量耗尽或恶劣的环境部署；因此，期望WSN能够维持网络连接并容忍一定数量的节点故障。通过应用模糊逻辑方法来控制网络拓扑，本文旨在提高网络连接性和响应节点故障的容错能力，同时考虑到控制方法必须本地化和高效节能。本文提出了两种模糊控制器：一种是基于学习的模糊逻辑拓扑控制（LFTC），其中的模糊控制器是从训练数据集中学习的。另一个是基于规则的模糊逻辑拓扑控制（RFTC），通过设计if-then规则和隶属函数来获得模糊控制器。 LFTC和RFTC都不依赖于位置信息，并且已本地化。通过广泛的仿真将它们与其他三种代表性算法（LTRT，基于列表的算法和NONE）进行比较，我们提出的两种模糊控制器已被证明具有很高的能效，可以在传感器节点用尽时达到所需的节点度并改善网络连接性。电池或受到随机攻击。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|973163.1-973163.11|共11页
  • 作者

    Yuanjiang Huang; Jose-Fernan Martinez; Vicente Hernandez Diaz; Juana Sendra;

  • 作者单位

    Centro de Investigacion en Tecnologias Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Politecnica de Madrid (UPM), 28031 Madrid, Spain;

    Centro de Investigacion en Tecnologias Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Politecnica de Madrid (UPM), 28031 Madrid, Spain;

    Centro de Investigacion en Tecnologias Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Politecnica de Madrid (UPM), 28031 Madrid, Spain;

    Centro de Investigacion en Tecnologias Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Politecnica de Madrid (UPM), 28031 Madrid, Spain;

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