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Algorithm Design For A Class Of Base Station Location Problems In Sensor Networks

机译:传感器网络中一类基站定位问题的算法设计

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摘要

Base station placement has significant impact on sensor network performance. Despite its significance, results on this problem remain limited, particularly theoretical results that can provide performance guarantee. This paper proposes a set of procedure to design (1-ε) approximation algorithms for base station placement problems under any desired small error bound ε>0. It offers a general framework to transform infinite search space to a finite-element search space with performance guarantee. We apply this procedure to solve two practical problems. In the first problem where the objective is to maximize network lifetime, an approximation algorithm designed through this procedure offers 1/ε~2 complexity reduction when compared to a state-of-the-art algorithm. This represents the best known result to this problem. In the second problem, we apply the design procedure to address base station placement problem when the optimization objective is to maximize network capacity. Our (1-ε) approximation algorithm is the first theoretical result on this problem.
机译:基站的位置对传感器网络性能有重大影响。尽管具有重要意义,但有关此问题的结果仍然有限,尤其是可以提供性能保证的理论结果。本文提出了一套程序,用于设计在任何期望的小误差范围ε> 0下的基站布局问题的(1-ε)近似算法。它提供了一个通用框架,可以在保证性能的情况下将无限搜索空间转换为有限元素搜索空间。我们应用此过程来解决两个实际问题。在第一个目标是最大化网络寿命的问题中,与最新算法相比,通过此过程设计的近似算法可降低1 /ε〜2的复杂度。这代表了该问题的最著名结果。在第二个问题中,当优化目标是最大化网络容量时,我们将设计程序应用于解决基站布置问题。我们的(1-ε)近似算法是该问题的第一个理论结果。

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