部署无线传感器节点的机器人优化轨迹

I. Khoufi, E. Livolant, P. Minet, Mohamed Hadded, A. Laouiti
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引用次数: 6

摘要

移动机器人可用于部署静态无线传感器节点,以实现所考虑的应用的覆盖和连接要求。文献中已经提供了许多解决方案来计算传感器节点应该放置的位置集。在本文中,我们展示了移动机器人如何使用这组位置来优化其行程,以将传感器节点部署到正确的位置。为了减少机器人消耗的能量,它暴露在恶劣环境中的时间,以及无线网络开始运行的时间,机器人的最佳路线是将延迟最小化。这个延迟不仅要考虑到机器人行走所需的时间,还要考虑到机器人每次改变方向时所进行的旋转所花费的时间。这个问题被称为机器人部署传感器节点问题,简称RDS。我们首先说明这个问题与著名的旅行推销员问题有何不同。然后,我们提出了RDS问题的整数线性规划公式。我们提出了各种与迭代改进相关的算法,包括交换游边、遗传方法和杂交。比较了这些算法提供的解,并评估了它们在不同配置下与最优解的接近程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized trajectory of a robot deploying wireless sensor nodes
Mobile robots can be used to deploy static wireless sensor nodes to achieve the coverage and connectivity requirements of the applications considered. Many solutions have been provided in the literature to compute the set of locations where the sensor nodes should be placed. In this paper, we show how this set of locations can be used by a mobile robot to optimize its tour to deploy the sensor nodes to their right locations. In order to reduce both the energy consumed by the robot, its exposure time to a hostile environment, as well as the time at which the wireless network becomes operational, the optimal tour of the robot is this minimizing the delay. This delay must take into account not only the time needed by the robot to travel the tour distance but also the time spent in the rotations performed by the robot each time it changes its direction. This problem is called the Robot Deploying Sensor nodes problem, in short RDS. We first show how this problem differs from the well-known traveling salesman problem. We then propose an integer linear program formulation of the RDS problem. We propose various algorithms relevant to iterative improvement by exchanging tour edges, genetic approach and hybridization. The solutions provided by these algorithms are compared and their closeness to the optimal is evaluated in various configurations.
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