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Symmetric Connectivity Algotirthms in Multiple Directional Antennas Wireless Sensor Networks

机译:多向天线无线传感器网络中的对称连接算法

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In this paper, we investigate the Antenna Orientation (AO) and Antenna Orientation and Power Assignment (AOPA) problems concerning symmetric connectivity in Directional Wireless Sensor Networks (DWSNs) where each sensor node is equipped with 2 ≤ k ≤ 5 directional antennas having beamwidth θ ≥ 0. The AO problem for DWSNs is closely related with the well-known Euclidean Degree-Bounded Minimum Bottleneck Spanning Tree (EBMBST) problem where different cases for the degree bound have been studied. While current works on DWSNs focus on solving each case of k(=2, 3, 4) separately, we propose a uniform approach for the AO problem that yields constant-factor approximation algorithms for the AO as well as the EBMBST problem where the degree bound is between 2 and 4. Our method achieves the same constant factors. For the AOPA problem, to the best of our knowledge, our paper provides the first results concerning this problem. We show that the problem is NP-hard when 2 ≤ k ≤ 4. We also establish the first constant-factor approximation algorithms for the problem. Finally, we perform some simulations to understand the practical performance of our algorithms.
机译:在本文中,我们研究了定向无线传感器网络(DWSN)中与对称连接有关的天线方向(AO)以及天线方向和功率分配(AOPA)问题,其中每个传感器节点都装有2≤k≤5个波束宽度为θ的定向天线≥0。DWSN的AO问题与众所周知的欧几里得度界最小瓶颈生成树(EBMBST)问题密切相关,在该问题中,研究了度界的不同情况。虽然当前在DWSN上进行的工作侧重于分别解决k(= 2、3、4)的每种情况,但我们为AO问题提出了一种统一的方法,该方法产生了AO的恒定因子近似算法以及EBMBST问题,其中bound在2到4之间。我们的方法获得相同的常数因子。对于AOPA问题,据我们所知,本文提供了有关该问题的第一个结果。我们证明,当2≤k≤4时,该问题是NP-困难的。我们还针对该问题建立了第一个常数因子近似算法。最后,我们进行一些模拟以了解我们算法的实际性能。

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