改进无线传感器网络中继节点放置的3星逼近算法

Shuo-Han Chen, Tseng-Yi Chen, H. Wei, T. Hsu, Chen-Hung Huang, W. Shih
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引用次数: 0

摘要

无线传感器网络(WSN)由大量低功耗传感器节点组成,用于采集环境信息,并将采集到的信息以无线方式转发到基站。然而,由于传感器节点的通信范围有限,为了使整个WSN连接,需要包含中继节点。中继节点通常比传感器节点更先进,也更昂贵。因此,制定有效部署中继节点并使中继节点数量最小化的策略一直是一个研究热点,也被称为最小斯坦纳点数的斯坦纳树问题(SMT-MSP),该问题已被前人的工作证明是NP-hard问题。本文分析并改进了3星近似算法,将时间复杂度从O(n3)降低到O(n log n),性能比相同。实验验证了所提算法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the 3-star approximation algorithm for relay node placement in wireless sensor network
A Wireless Sensor Network (WSN) is composed by a larger number of low-power sensor nodes to gather environmental information and forward those gathered information wirelessly to a base station. However, due to the limited communication range of sensor nodes, relay nodes need to be included in order to make the whole WSN connected. Relay nodes are typically more advanced and more expensive than sensor nodes. Therefore, developing strategies to deploy relay nodes effectively and minimize the number of relay nodes has always been a hot research topic, also known as the Steiner Tree Problem with Minimum number of Steiner Points (SMT-MSP), which is proved to be NP-hard by previous work. In this paper, we analyze and improve the 3-star approximation algorithm by reducing the time complexity from O(n3) to O(n log n) with identical performance ratio. Experiments are conducted to verify the correctness of the proposed algorithm.
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