无线传感器网络STP-MSP问题的3星算法分析与改进

Shuo-Han Chen, Chi-Heng Lee, Tseng-Yi Chen, H. Wei, T. Hsu, W. Shih
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引用次数: 3

摘要

无线传感器网络(WSN)使用大量的低功耗传感器节点来收集环境信息,然后将这些信息无线转发到基站。然而,传感器节点的通信范围非常有限。因此,需要中继节点来确保整个WSN的可靠连接。另一方面,中继节点通常比传感器节点更复杂和昂贵。因此,部署策略应该寻求最小化所需中继节点的数量,这个问题被称为具有最小数量斯坦纳点的斯坦纳树问题(SMT-MSP),该问题已被证明是np困难的。本文对3星近似算法进行了分析和改进,将时间复杂度从O(n3)降低到O(nlogn),性能比相同。实验验证了所提算法的正确性。
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Analysis and improvement of the 3-star algorithm for the STP-MSP problem in Wireless Sensor Networks
A Wireless Sensor Network (WSN) uses a larger number of low-power sensor nodes to gather environmental information which is then wirelessly forwarded to a base station. However, sensor nodes have very limited communication ranges. Thus, relay nodes are required to ensure reliable connectivity throughout the WSN. On the other hand, relay nodes are typically more sophisticated and expensive than sensor nodes. Therefore, deployment strategies should seek to minimize the number of required relay nodes, a problem referred to as the Steiner Tree Problem with Minimum Number of Steiner Points (SMT-MSP), which has been shown to be NP-hard. This paper analyzes and improves the 3-star approximation algorithm by reducing the time complexity from O(n3) to O(nlogn) with the identical performance ratio. Experiments are conducted to verify the correctness of the proposed algorithm.
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