基于超级节点的分布式传感器节点定位算法
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(桂林电子科技大学信息与通信学院,广西桂林541004)

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E-mail: jzjiang@guet.edu.cn.

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TN911.7

基金项目:

国家自然科学基金项目(61761011);广西省自然科学基金项目(2017GXNSFAA198173).


A distributed sensor nodes localization algorithm based on super nodes
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(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)

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    摘要:

    针对无线传感器网络中数目庞大的传感器节点难以进行有效定位的问题,提出一种分布式的传感器节点迭代定位算法.基于整个网络中相互重叠的子图,该算法的每一步迭代涉及两个步骤:一是每个子图内的高效定位,二是相邻子图之间的局部一致.对于每个子图,采用共轭梯度法对节点进行局部定位;之后,对相邻子图重叠区域内节点的局部位置进行融合平均.这两个步骤持续进行,直至满足迭代终止条件.仿真实验表明,与现有分布式算法相比,所提出算法的定位误差降低了一个数量级,能够对大规模的无线传感器网络进行高效定位.

    Abstract:

    A distributed algorithm based on super nodes is proposed to iteratively locate the large number of sensor nodes in wireless sensor networks. Based on the overlapped decomposition of the entire network, two steps are involved at each iteration of the algorithm, one is the node localization method within each subgraph and the other is the local consensus among neighboring subgraphs. In specific, for each subgraph, the conjugate gradient method is employed to determine the position of nodes. And in subsequent, the position of each node will be adjusted by using a neighboring consensus strategy. These two steps proceed until the iterative termination condition is satisfied. Simulation results show that the proposed algorithm has an order of magnitude lower positioning error than the existing distributed algorithms and can efficiently locate nodes for large size wireless sensor networks.

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蒋俊正,赵海兵.基于超级节点的分布式传感器节点定位算法[J].控制与决策,2020,35(12):2898-2906

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  • 在线发布日期: 2020-12-02
  • 出版日期: 2020-12-20
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