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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >A novel centralized algorithm for constructing virtual backbones in wireless sensor networks
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A novel centralized algorithm for constructing virtual backbones in wireless sensor networks

机译:一种用于在无线传感器网络中构建虚拟骨干的新型集中算法

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摘要

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(Delta) + 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 vertical bar N-2(v)vertical bar/vertical bar N(v)vertical bar (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:找到最小连接的主导集(MCD)是无线传感器网络中的关键问题,这对于有效的路由和广播至关重要。但是,MCDS问题是NP - 硬。本文提出了一种具有时间O(N(2))的近似比H(Delta)+ 3的新近似算法(N(2))以接近MCD问题。关键的想法是将CD中的传感器划分为核心传感器和支撑传感器。核心传感器在CD中占主导地位的支持传感器,而支持传感器占据了CD中的其他传感器。为了最小化核心和支持者的数量,提出了一种三相算法。 (1)通过构造独立的组(表示为S-1)来找到基础核心传感器,其中具有最大垂直条N-2(V)垂直条/垂直条N(V)垂直条(数量)的传感器将贪婪地选择在一个跳邻居数量上的两跳邻居,以进入S-1; (2)将S-1中的所有基础核心传感器连接到形成连接的子图,示意图中的传感器称为核心; (3)将核心传感器的单跳邻居添加到支持者组S-2。这保证了少数传感器可以添加到CD中,这是一种用于MCDS构建的新方案。广泛的仿真结果显示验证我们算法的性能。

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