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Self-Organization of Shortest Spanning Tree and Optimal Sink Node Position for Various Shapes of Large-Scale Wireless Sensor Networks

机译:各种形状的大型无线传感器网络的最短生成树的自组织和最优接收器节点位置

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The primary challenges with wireless sensor networks are how to construct the shortest spanning tree and how to determine the optimal sink node position in terms of minimizing the data transmission times and their variances for gathering data from all sensor nodes to a sink node. To solve these two problems, we previously proposed a basic algorithm that uses the polygonal affine shortening algorithm with flow aggregation in a fully distributed manner. In this paper, we proposed an algorithm that is more than 25% faster than the previously proposed algorithm and also proves that the proposed algorithm works in wireless sensor networks. The proposed algorithm was implemented on a well-known multi-agent simulator called Net logo.
机译:无线传感器网络面临的主要挑战是如何构建最短的生成树以及如何在最小化数据传输时间及其从所有传感器节点到宿节点收集数据的方差方面确定最佳宿节点位置。为了解决这两个问题,我们先前提出了一种基本算法,该算法使用多边形仿射缩短算法并以完全分布式的方式进行流量聚合。在本文中,我们提出了一种比先前提出的算法快25%以上的算法,并证明了该算法在无线传感器网络中有效。所提出的算法是在称为Net logo的著名多代理模拟器上实现的。

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