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A genetic algorithm-based approach to optimize the coverage and the localization in the wireless audiosensors networks

机译:基于遗传算法的无线声传感器网络覆盖和定位优化方法

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摘要

Coverage is one of the most important performance metrics for sensor networks that reflects how well a sensor field is monitored. In this paper, we are interested in studying the positioning and placement of sensor nodes in a WSN in order to maximize the coverage problem and to optimize the audio localization in wireless sensor networks. First, we introduce the problem of deployment. Then we propose a mathematical formulation and a genetic based approach to solve this problem. Finally, we present the results of experimentations. This paper presents a genetic algorithm which aims at searching for an optimal or near optimal solution to the coverage holes problem. Compared with random deployment as well as existing methods, our genetic algorithm shows significant performance improvement in terms of quality.
机译:覆盖率是传感器网络最重要的性能指标之一,它反映了传感器场的监视情况。在本文中,我们有兴趣研究WSN中传感器节点的定位和放置,以最大程度地覆盖问题并优化无线传感器网络中的音频定位。首先,我们介绍部署问题。然后,我们提出了数学公式和基于遗传的方法来解决此问题。最后,我们介绍了实验结果。本文提出了一种遗传算法,旨在寻找覆盖孔问题的最优或接近最优解。与随机部署以及现有方法相比,我们的遗传算法在质量方面显示出显着的性能提升。

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