Ultradeep shafts are the only means available to extract solid mineral resources from deep within the earth, and the conditions of these shafts directly affect the working safety of the lifting system. Chain-type wireless sensor networks (CWSNs), which are mobile and self-supporting, provide a new option for mobile collaborative monitoring of ultradeep shafts by sampling panoramic images. In this paper, a topological control method for CWSNs in an ultradeep shaft based on mobile sensor nodes is proposed. First, a video sensor node that can vertically climb a rope and automatically generate power is designed. Then, a uniform chain-type deployment strategy is proposed to accommodate the actual conditions of an ultradeep shaft. Ultimately, the network repair strategies based on mobile nodes are designed to address node movement and communication failures. The research results indicate that a uniform hierarchical deployment algorithm with a scheduling strategy can achieve overall monitoring of the ultradeep shaft in a monitoring cycle and that the collaborative repair strategy can effectively maintain the linear-domain coverage of the network.

中文翻译：

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超深井筒中可移动传感器网络的拓扑控制策略

超深竖井是唯一可从地下深处提取固体矿产资源的方法，这些竖井的状况直接影响起重系统的工作安全性。可移动且自立的链式无线传感器网络（CWSN）通过对全景图像进行采样，为超深井井道的移动协作监控提供了新的选择。提出了一种基于移动传感器节点的超深井CWSN拓扑控制方法。首先，设计了一个视频传感器节点，该节点可以垂直爬上绳索并自动发电。然后，提出了一种统一的链式展开策略，以适应超深井筒的实际情况。最终，基于移动节点的网络修复策略旨在解决节点移动和通信故障。研究结果表明，具有调度策略的统一分层部署算法可以在一个监视周期内实现对超深井筒的全面监视，并且协同修复策略可以有效地维持网络的线性域覆盖。