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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:用于各种形状的大型无线传感器网络的最短生成树和最佳宿节节点的自我组织

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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:与无线传感器网络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差异以将数据从所有传感器节点收集到宿节点来确定最佳宿节点位置。为了解决这两个问题,我们之前提出了一种基本算法,其使用具有完全分布的方式的流量聚合的多边形仿射缩短算法。在本文中,我们提出了一种比以前提出的算法快25%的算法,并且还证明了所提出的算法在无线传感器网络中工作。所提出的算法是在一个名为Net Logo的众所周知的多代理模拟器上实现的。

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