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An Effective Algorithm to Find a Cost Minimizing Gateway Deployment for Node-Replaceable Wireless Sensor Networks

机译:一种有效的算法用于找到节点可更换无线传感器网络的成本最小化网关部署

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摘要

In this paper, we present an efficient way to find a gateway deployment for a given sensor network topology. We assume that the expired sensors and gateways can be replaced and the locations of the gateways are chosen among the given sensor nodes. The objective is to find a gateway deployment that minimizes the cost per unit time, which consists of the maintenance and installation costs. The proposed algorithm creates a cost reference and uses it to find the optimal deployment via a divide and conquer algorithm. Comparing all cases is the most reliable way to find the optimal gateway deployment, but this is practically impossible to calculate, since its computation time increases exponentially as the number of nodes increases. The method we propose increases linearly, and so is suitable for large scale networks. Additionally, compared to stochastic algorithms such as the genetic algorithm, this methodology has advantages in computational speed and accuracy for a large number of nodes. We also verify our methodology through several numerical experiments.
机译:在本文中,我们提出了一种有效的方法来找到给定的传感器网络拓扑的网关部署。我们假设可以更换过期的传感器和网关,并且在给定的传感器节点之间选择网关的位置。目标是找到一个Gateway部署,最小化每单位时间的成本,包括维护和安装成本。该算法创建了成本参考,并使用它来通过划分和征服算法找到最佳部署。比较所有情况是找到最佳网关部署的最可靠的方法,但这实际上是不可能计算的,因为它的计算时间随着节点的数量增加而呈指数呈指数增加。我们提出的方法线性增加,因此适用于大型网络。另外,与诸如遗传算法的随机算法相比,该方法具有在大量节点的计算速度和准确性方面具有优势。我们还通过若干数值实验验证我们的方法。

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