Design of IoT information collection system based on sensor node optimization
This article studies the issue of IoT information collection,starting with real-time monitoring of fire hydrants on urban roads,and designs an IoT information collection system based on sensor node optimization.Firstly,an online monitoring system for fire hydrants was designed,and its core loT information collection system was designed in detail;Then,research and exploration were conducted on the optimization plan for sensor node deployment,including network system design,setting conditions for node deploy-ment optimization problems,and constructing a mathematical model for node deployment optimization problems.The specific optimi-zation method was to use the improved PSO algorithm to find the optimal sensor node deployment plan;Finally,simulation experi-ments were conducted on the Matlab simulation platform to optimize the deployment process of sensor nodes,using standard PSO algo-rithm and improved PSO algorithm to optimize the initial layout of sensor nodes.The experimental results show that the evaluation function value of the improved PSO optimized layout has increased by 3.57％compared to the initial layout,the coverage redundancy has increased by 4.88％compared to the initial layout,and the communication strength of the optimized layout has increased by 6.2％compared to the initial layout.The number of neighboring nodes in the improved PSO optimized layout has increased by 7.61％and 2.6％compared to the initial layout and the standard PSO optimized layout,respectively,The overall performance evaluation function value has increased by 0.21％compared to the standard PSO optimization layout evaluation function value,indicating that the im-proved PSO search for sensor node distribution scheme is superior,and the connectivity of the optimized layout is better.It is suitable for the sensor node optimization in this study to obtain the optimal node deployment scheme.
internet of thingssensor node optimizationPSO algorithminformation collection system
万方数据
维普
