基于模糊逻辑的移动节点运动控制在无线传感器网络中的有效覆盖

O. Banimelhem, Muhammad Naserllah, Alaa Abu-Hantash
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引用次数: 10

摘要

在大规模无线传感器网络(WSNs)中,传感器节点的随机部署并不能保证期望的区域覆盖水平,尤其是在网络稀疏的情况下。克服这一问题的解决方案之一是使用移动机器人,除了传感单元外,还配备了控制其运动的执行器单元。在这种情况下,移动机器人被认为是一个移动传感器节点,它具有监视传感器场中未覆盖区域的能力。然而,在这种情况下,主要的挑战是如何控制移动机器人的运动,使区域覆盖最大化,采样未覆盖区域所需的时间最小化。在本文中,我们提出了一种基于模糊逻辑的方法来控制移动机器人在传感器领域的运动,以最大限度地覆盖区域。模糊系统的输入决定了移动节点在传感器场中移动时选择的下一个点。仿真结果表明,该方法优于随机移动模式和标准移动模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient coverage in wireless sensor networks using fuzzy logic-based control for the mobile node movement
In large scale Wireless Sensor Networks (WSNs), the random deployment of the sensor nodes does not guarantee the desired level of the area coverage especially when the network is sparse. One of the solutions to overcome this problem is to use a mobile robot that is equipped with, in addition to the sensing unit, an actuator unit that controls its movement. In this case, the mobile robot is considered as a mobile sensor node that has the capability to monitor the uncovered regions in the sensor field. However, the main challenge in this case is how to control the movement of the mobile robot such that the area coverage is maximized and the time required to sample the uncovered regions is minimized. In this paper, we propose a fuzzy logic-based approach that controls the mobile robot movement in the sensor field in order to maximize the area coverage. The inputs of the fuzzy system determine the next point that the mobile node will select when it moves in the sensor field. Simulation results have shown that the proposed approach outperforms the random and standard moving patterns.
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