...节点自定位 [gap=682]ment Array of Ultrasonic, Time Difference of Arrival, Multi-Dimensional Scaling, Node Self-localization ...
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Node self-localization algorithms for 3D WSNs are mainly researched in this thesis.
本文主要针对三维无线传感器网络节点自定位算法进行研究。
参考来源 - 三维无线传感器网络节点自定位算法研究Node self-localization algorithms for 3D WSNs are mainly researched in this thesis.
本文主要针对三维无线传感器网络节点自定位算法进行研究。
参考来源 - 三维无线传感器网络节点自定位算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In wireless sensor networks, the node self-localization is vital and promising to a wide scope of both military and civilian applications.
无线传感器网络中，节点的自身定位至关重要，在军事和民用领域中有着广泛的应用前景。
In order to make node self-localization precision satisfy the need of varied network size, hybrid-hop Monte-Carlo method is proposed to solve the constraint of low anchor node density.
为了使传感器节点自定位精度能够适应于不同网络规模应用的需要，提出了多跳跃蒙特—卡罗节点定位方法，解决了锚节点密度低的应用限制。
This paper adopts mobile anchor node combining PBCC algorithm, and proposes a self-localization algorithm with low energy consumption and high precision.
本文采用移动锚节点并结合PBCC算法，提出一种复杂度低、精度高的节点自身定位改进算法。
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