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A novel centralized algorithm for constructing virtual backbones in wireless sensor networks

机译:在无线传感器网络中构建虚拟骨干网的新型集中式算法

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Finding the minimum connected dominating set (MCDS) is a key problem in wireless sensor networks, which is crucial for efficient routing and broadcasting. However, the MCDS problem is NP-hard. In this paper, a new approximation algorithm with approximation ratio H ( Δ )+3 in time O ( n 2) is proposed to approach the MCDS problem. The key idea is to divide the sensors in CDS into core sensors and supporting sensors. The core sensors dominate the supporting sensors in CDS, while the supporting sensors dominate other sensors that are not in CDS. To minimize the number of both the cores and the supporters, a three-phased algorithm is proposed. (1) Finding the base-core sensors by constructing independent set (denoted as S 1), in which the sensors who have the largest (rac {|N^{2}(v)|}{|N(v)|}) (number of two-hop neighbors over the number of one-hop neighbors) will be selected greedily into S 1; (2) Connecting all base-core sensors in S 1 to form a connected subgraph, the sensors in the subgraph are called cores; (3) Adding the one-hop neighbors of the core sensors to the supporter set S 2. This guarantees a small number of sensors can be added into CDS, which is a novel scheme for MCDS construction. Extensive simulation results are shown to validate the performance of our algorithm.
机译:在无线传感器网络中,寻找最小连接支配集(MCDS)是一个关键问题,这对于有效路由和广播至关重要。但是,MCDS问题是NP难题。提出了一种新的近似算法,该算法在时间O(n 2 )中具有近似比H(Δ)+3。关键思想是将CDS中的传感器分为核心传感器和辅助传感器。核心传感器控制着CDS中的辅助传感器,而辅助传感器则主导了不在CDS中的其他传感器。为了最大程度地减少核心和支持者的数量,提出了一种三相算法。 (1)通过构造独立的集合(表示为S 1 )来找到基核传感器,其中具有最大( frac {| N ^ {2}(v)| } {| N(v)|} )(两跳邻居的数量超过一跳邻居的数量)将被贪婪地选择为S 1 ; (2)连接S 1 中的所有基本核传感器以形成一个连接的子图,该子图中的传感器称为核; (3)将核心传感器的一跳邻居添加到支持集S 2 。这保证了可以将少量传感器添加到CDS中,这是MCDS构建的一种新颖方案。大量的仿真结果表明,可以验证我们算法的性能。

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