Research On Uniform Optimization Of Multi-spatial Scene Awareness Networks

In order to meet the requirements of real-time data monitoring in working scenarios,wireless sensor networks need to distribute a large number of nodes to provide reliable data monitoring services,and convenient and efficient random distribution is the best choice.However,random distribution will lead to low initial perception efficiency of the perception network.The monitoring scene of superimposed nodes is generally a multi-spatial outdoor scene under the combined action of line-of-sight space and non-line-of-sight space.Obstacles and complex terrain coexist in the coverage scene,resulting in poor coverage quality of the perception network and a sharp increase in energy consumption.Aiming at the problem of uniform optimization of perception network in multi-spatial scenarios,this paper designs a multi-spatial node scheduling algorithm that takes into account stereo perception and shading effects,effectively reducing node perception overlap and blind areas,and enhancing regional coverage quality in multi-space scenarios.The main research results of the paper are as follows:(1)Aiming at the problem of occlusion misjudgment and redundancy balance caused by random distribution of perception nodes in the stereo space,a multi-space scene under the combined action of sensing nodes covering line-of-sight space and non-line-of-sight space is presented(Coverage of stereo perception models in Three-Dimensional Complex Terrains,CTDCT).Emphasizes the use of stereo perception model to describe the perception quality of nodes in multi-space scenes,and combines the judgment of perception blind spots in line-ofsight and non-line-of-sight scenarios to solve the problem of misjudgment of occlusion coverage;introduces the mapping of point sets to the feasible region of the scene,and initially screen the distribution of nodes a double-gain network with reduced redundancy;using nonlinear adjustment of node positions in the full iteration cycle,improving network diversity in the early stage,and optimizing local topology in the later stage;the node movement step is designed so that it is motivated by redundant nodes,and the degree of coupling between the network and the existing environment is improved.(2)Aiming at the disadvantage of weak applicability of sensor network in multi-spatial scenes,the paper expounds the uniform optimization solution of sensor network under multispace scene correction(Uniform optimization of Sensor Network under Multi-space scene Correction,USNMC).Starting from the problem of node "anisotropy",based on the geographic information of the node coverage area,a correction model in a multi-space scenario is established to realize the transition from multi-space to two-dimensional plane;Network interpolation update is introduced to complete the accuracy of the best network topology Positioning,avoiding local optimal hidden dangers from a single network level;Using the weight de-redundancy mechanism to superimpose the nonlinear update strategy of node scheduling to improve network differentiation and weaken the contingency and unreliability caused by random distribution of nodes.(3)Combining the algorithm of sensing nodes covering both line-of-sight and non-line-ofsight scenarios with the dust monitoring of construction sites in actual projects,a site dust monitoring system based on uniform network optimization is designed.The principle of recovery algorithm.The system uses the cloud computing platform to run the network uniform optimization algorithm,estimates the placement of dust monitoring equipment,collects and uploads dust data in real time,and uses the web page,We Chat applet and cloud platform as the starting point to realize the automation of dust monitoring.The system will greatly save resources and simplify the process through accurate data collection and standardized business operations.