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    范玮, 刘济. 一种基于事件触发的异构WSN分布式定位方法[J]. 华东理工大学学报(自然科学版), 2023, 49(4): 554-561. DOI: 10.14135/j.cnki.1006-3080.20220211001
    引用本文: 范玮, 刘济. 一种基于事件触发的异构WSN分布式定位方法[J]. 华东理工大学学报(自然科学版), 2023, 49(4): 554-561. DOI: 10.14135/j.cnki.1006-3080.20220211001
    FAN Wei, LIU Ji. An Event-Triggering Distributed Positioning Method of A Heterogeneous WSN[J]. Journal of East China University of Science and Technology, 2023, 49(4): 554-561. DOI: 10.14135/j.cnki.1006-3080.20220211001
    Citation: FAN Wei, LIU Ji. An Event-Triggering Distributed Positioning Method of A Heterogeneous WSN[J]. Journal of East China University of Science and Technology, 2023, 49(4): 554-561. DOI: 10.14135/j.cnki.1006-3080.20220211001

    一种基于事件触发的异构WSN分布式定位方法

    An Event-Triggering Distributed Positioning Method of A Heterogeneous WSN

    • 摘要: 由于电磁波传输的多径效应和信号干扰,基于接收信号强度(RSS)测距的室内定位精度较低,本文提出一种融合RSS和惯性测量的异构无线传感器网络(WSN)室内定位方案,它采用基于位置估计信任度的分布式一致性容积信息滤波算法(CCIF)来协同估计目标的位置;引入事件触发机制,基于RSS信号强度触发WSN节点唤醒,以提高网络的抗干扰性和降低网络能耗。室内移动小车的定位仿真和实验测试结果表明,所提出的WSN融合定位精度明显优于单一定位方法,具有显著的抗干扰性能,且分布式定位和事件触发机制可有效地降低网络能耗。

       

      Abstract: Due to multi-path effect and electromagnetic interference, RSS-based indoor positioning systems has lower accuracy. Aiming at this shortcoming, this paper proposes an indoor positioning scheme of a heterogeneous wireless sensor network (WSN) by integrating RSS and inertial measurement. The distributed consensus cubature information filters with credibility evaluation is utilized to estimate target positions collaboratively. An event-triggering mechanism is introduced to awaken the sensor nodes when the strength of RSS signals are satisfied for improving the network anti-interference and reduce network energy consumption. It is shown from the simulation and experiment results via mobile cars that the proposed method has higher positioning accuracy than a single positioning method, and remarkable anti-interference performance. Moreover, the distributed positioning scheme and event-triggering mechanism can effectively reduce network energy consumption.

       

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