计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 155-158.

• 网络与通信 • 上一篇    下一篇

移动传感器网络节点快速一致性滤波定位

钱慧,周样云,许志猛,余轮   

  1. (福州大学物理与信息工程学院 福州 350108)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Mobile Sensor Network Node Fast Consensus Filter Localization

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对移动传感器网络拓扑结构的动态特性,提出了一种快速卡尔曼一致性滤波定位算法。该算法依据Mc- tropolis准则,仅利用通信节点之间的RSSI值快速调整融合步长。在网络拓扑结构未知的情况下,利用卡尔曼一致性 滤波定位算法实现位置求精。仿真结果表明,与Saber算法相比,该方法能够在降低通信量的同时,提高节点的定位 精度,适合移动传感器网络。

关键词: 移动传感器网络,节点定位,分布式卡尔曼滤波器,一致性融合

Abstract: Aimed at the dynamic properties of mobile sensor networks topology, a quickly kalman-consensus filter local- ization scheme was proposed. I}his algorithm only uses the RSSI value between the communication nodes to quickly ad- just fusion step on Metropolis rule. Under the situation of unknown networks topology, more precise localization is a- chieved steadily by kalman-consensus filter. From the simulation results, compared with Saber algorithm, the proposed scheme can depress the communication consummation and suits mobile sensor networks.

Key words: Mobile sensor networks, Node localization, Distributed kalman filter, Consensus fusion

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