Stereo Perception Optimization of Line-of-Sight and Non-Line-of-Sight Sensor Networks

The improvement in the sensing node used to cover the three-dimensional complex terrains (CTDCT) depends on the research results of two-dimensional coverage of wireless sensor networks and the phenomenon of weak applications in actual three-dimensional space. The node stereo perception model addresses the misjudgment of occlusion and coverage by judging the blind spots of perception in line-of-sight and non-line-of-sight; moreover, it combines the perception quality of nodes in the CTDCT. The algorithm expands the distribution of nodes and reduces redundancy by introducing mapping from the point set to the feasible region of the scene. Furthermore, the nonlinear adjustment of node position in the iteration cycle improves network diversity in the early stages and optimizes the local topology in the later stages. The step length of the designed node is excited by redundant nodes to improve the level of coupling between the network and the existing environment. The simulation results demonstrate that the CTDCT algorithm reduces the coverage misjudgment probability and adjusts the node position. This effectively reduces the node's perception of overlap and blind areas in line-of-sight and non-line-of-sight scenes. Furthermore, it also enhances the regional coverage quality in the CTDCT.