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Base Station Location -Aware Optimization Model of the Lifetime of Wireless Sensor Networks

机译:基站定位-无线传感器网络寿命的优化模型

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Recently, wireless sensor networks (WSNs) have been progressively applied in various fields and areas. However, its limited energy resources is indisputably one of the weakest point that strongly affects the network's lifetime. A WSN consists of a sensor node set and a base station. The initial energy of each sensor node will be depleted continuously during data transmission to the base station either directly or through intermediate nodes, depending on the distance between sending and receiving nodes. This paper consider determining an optimal base station location such that the energy consumption is kept lowest, maximizing the network's lifetime and propose a nonlinear programming model for this optimizing problem. Our proposed method for solving this problem is to combine methods mentioned in [1] respectively named the centroid, the smallest total distances, the smallest total squared distances and two greedy methods. Then an improved greedy method using a LP tool provided in Gusek library is presented. Finally, all of the above methods are compared with the optimized solution over 30 randomly created data sets. The experimental results show that a relevant location for the base station is essential.
机译:近来,无线传感器网络(WSN)已逐渐应用于各个领域和领域。但是,其有限的能源无疑是严重影响网络寿命的最薄弱环节之一。 WSN由传感器节点集和基站组成。根据发送和接收节点之间的距离,在直接或通过中间节点向基站传输数据期间,每个传感器节点的初始能量将不断消耗。本文考虑确定最佳基站位置,以使能耗保持最低,最大化网络寿命,并针对此优化问题提出非线性规划模型。我们提出的解决此问题的方法是将[1]中提到的分别称为质心,最小总距离,最小总平方距离和两种贪婪方法的方法进行组合。然后,提出了一种使用Gusek库中提供的LP工具的改进贪婪方法。最后,将以上所有方法与30个随机创建的数据集的优化解决方案进行比较。实验结果表明,基站的相关位置至关重要。

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