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首页> 外文期刊>International Journal of Distributed Sensor Networks >Determining Sensor Locations in Wireless Sensor Networks
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Determining Sensor Locations in Wireless Sensor Networks

机译:确定无线传感器网络中的传感器位置

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Network lifetime plays an important role in the design of wireless sensor networks. This paper studies the problem of prolonging the wireless sensor network’s lifetime, through introducing additional sensors at proper locations to achieve the goal of minimizing the length of the longest edge in the network. The problem is in fact the bottleneck Steiner tree problem, trying to find a Steiner tree minimizing the length of the longest edges for the givennterminals in the Euclidean plane by introducing at mostkSteiner points. A restricted bottleneck Steiner tree problem is studied in this paper, which requires that only degree≥3 Steiner points are not allowed to be adjacent in the optimal solution. We show that the restricted problem is MAX-SNP hard and cannot be approximated within performance ratio2in polynomial time unlessP= NP; we first propose a polynomial time3-approximation algorithm and then improve the ratio to2+εfor any givenε>0, by presenting a polynomial time randomized approximation algorithm, which is almost optimal to the restricted problem.
机译:网络寿命在无线传感器网络的设计中起着重要作用。本文研究了通过在适当位置引入额外的传感器来延长无线传感器网络寿命的问题,以实现最小化网络中最长边缘的长度的目标。问题实际上是瓶颈Steiner树问题,试图通过引入最多kSteiner点来找到最小化欧氏平面中给定末端的最长边长度的Steiner树。本文研究了一个受限的瓶颈斯坦纳树问题,该问题要求在最优解中,仅允许度≥3的斯坦纳点不相邻。我们证明受限问题是MAX-SNP难题,除非P = NP,否则不能在多项式时间内的性能比2内近似。我们首先提出一种多项式时间3逼近算法,然后通过提出多项式时间随机逼近算法,将任意比率ε> 0的比率提高到2 +ε,这对于受限问题几乎是最佳的。

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