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Optimal Base Station Placement in Wireless Sensor Networks

机译:无线传感器网络中的最佳基站布置

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Base station location has a significant impact on network lifetime performance for a sensor network. For a multihop sensor network, this problem is particularly challenging due to its coupling with data routing. This article presents an approximation algorithm that can guarantee (1 - ε)-optimal network lifetime performance for base station placement problem with any desired error bound s > 0. The proposed (1 - ε)-optimal approximation algorithm is based on several novel techniques that makes it possible to reduce an infinite search space to a finite-element search space for base station location. The first technique used in this reduction is to discretize cost parameter (associated with energy consumption) with performance guarantee. Subsequently, the continuous search space can be broken up into a finite number of subareas. The second technique is to exploit the cost property of each subarea and represent it by a novel notion called fictitious cost point, each with guaranteed cost bounds. We give a proof that the proposed base station placement algorithm is (1-ε)-optimal. This approximation algorithm is simpler and faster than a state-of-the-art algorithm and represents the best known result to the base station placement problem.
机译:基站位置对传感器网络的网络生命周期性能有重大影响。对于多跳传感器网络,由于该问题与数据路由耦合,这一问题尤其具有挑战性。本文提出了一种近似算法,该算法可确保(1-ε)-最佳网络生存期性能适用于任何期望误差范围s> 0的基站布置问题。提出的(1-ε)-最佳近似算法基于几种新颖的技术这使得可以将无限搜索空间减少到用于基站定位的有限元素搜索空间。这种减少使用的第一种技术是使性能参数离散化成本参数(与能耗相关)。随后,可以将连续搜索空间分解为有限数量的子区域。第二种技术是利用每个分区的成本属性,并用一种​​称为虚拟成本点的新颖概念来表示它,每个概念都有保证的成本范围。我们提供了一个证明,该建议的基站放置算法是(1-ε)最优的。该近似算法比最新算法更简单,更快,并且代表了基站放置问题的最著名结果。

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