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A research on wireless sensor networks’ node positioning mechanism based on Narrowband Internet of Things data linking

机译:基于窄带物联网数据链接的无线传感器网络节点定位机制研究

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NB-IoT (Narrowband Internet of Things), as a part of new-generation cellular communication technology, leads an innovation in wireless sensor networks. It pushes wireless sensor networks to be applied in more application fields. NB-IoT Release 14 has got the ability of positioning from cellular network service. To solve the positioning problem of new wireless sensor networks based on NB-IoT, instead of static three-point measuring way DV-HOP (distance vector hop), NB-IoT connecting point node is deployed to work as an anchor node that moves among three different places and receives signals from all other unknown nodes in the cluster. Based on the DV-HOP algorithm, in this article a topological structure for new-generation wireless sensor networks is built and the NBIOT-DVHOP mechanism combining the NB-IoT cellular network positioning ability and the DV-HOP algorithm is proposed. According to the simulation on the MATLAB platform, the effectiveness of this mechanism is verified and the deviation rate of each point from the relative position is presented. The deviation rate is related to the communication radius and the numbers of unknown nodes and anchor nodes. The simulation results can support the next step of research in NB-IoT-based wireless sensor networks, especially in data collection and fast positioning of unknown sensor nodes.
机译:NB-IoT(窄带物联网)作为新一代蜂窝通信技术的一部分,引领了无线传感器网络的创新。它将无线传感器网络推向更多的应用领域。 NB-IoT版本14具有从蜂窝网络服务进行定位的能力。为了解决基于NB-IoT的新型无线传感器网络的定位问题,代替了静态三点测量方式DV-HOP(距离矢量跳),部署NB-IoT连接点节点作为锚点在节点之间移动。三个不同的位置,并从群集中所有其他未知节点接收信号。基于DV-HOP算法,本文构建了新一代无线传感器网络的拓扑结构,并提出了结合NB-IoT蜂窝网络定位能力和DV-HOP算法的NBIOT-DVHOP机制。通过在MATLAB平台上的仿真,验证了该机构的有效性,并给出了每个点相对位置的偏离率。偏差率与通信半径以及未知节点和锚节点的数量有关。仿真结果可以支持基于NB-IoT的无线传感器网络的下一步研究,尤其是在数据收集和未知传感器节点的快速定位方面。

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