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面向智慧教室的无线传感网边缘节点智能部署方法

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为降低部署后的通信时延,提高智慧教室的数据发送与网络使用效率,提出面向智慧教室的无线传感网边缘节点智能部署方法;以智慧教室场景中良好的通信、最大限度降低部署边缘节点成本为优化目标,构建边缘节点智能部署的目标函数;针对目标函数设定流量约束条件、无线传感网数据流约束条件、节点计算能力约束条件;自适应调整粒子群优化算法的惯性权重、粒子更新速度、Pareto最优解保存策略,设计多目标改进粒子群优化算法求解目标函数,实现面向智慧教室的无线传感网边缘节点智能部署;测试结果表明,该方法优化目标为网络覆盖率时的最低网络时延为0。97 s,数据发送时延为0。14 s;优化目标为节点安全连通度时的最大网络时延为1。68 s,最大数据发送时延为0。68 s;整体连通度较高,遗漏节点为0;网络计算能力平均值为250。55 MB/s;在无线传感网边缘节点为2 000个时,基本趋于稳定,时间复杂度稳定在3次;综上可知,应用该方法后的时延较低,部署效果较好,算法性能较优,保证了智慧教室无线传感网通信和传输质量。
Intelligent Deployment Method of Wireless Sensor Network Edge Nodes for Smart Classroom
In order to reduce the communication delay after deployment and improve the efficiency of data transmission and network use in smart classrooms,an intelligent deployment method of wireless sensor network edge nodes for smart classrooms is proposed.As the optimization goal of good communication in the smart classroom scenario,the objective function of intelligent de-ployment of edge nodes is built to minimize the cost of deploying edge nodes,set the traffic constraints,data flow constraints and node computing capacity constraints for the objective function,adaptively adjust the inertia weight,particle update speed and Pareto opti-mal solution preservation strategy of the particle swarm optimization algorithm,design a multi-objective improved particle swarm opti-mization algorithm to solve the objective function,and achieve the intelligent deployment of wireless sensor network edge nodes for smart classrooms.The test results show that the minimum network latency and data transmission latency of this method are 0.97 s and 0.14 s respectively when the optimization objective is network coverage;When the optimization objective is node security connec-tivity,the maximum network delay is 1.68 s,and the maximum data transmission delay is 0.68 s;The overall connectivity is high,with no missing nodes;The average network computing power is 250.55 MB/s;When the edge nodes in the wireless sensor network is 2 000,it tends to stabilize,with the time complexity of 3 times.In summary,the proposed method has lower latency,better de-ployment,and better performance,ensuring the communication and transmission quality of the smart classroom wireless sensor net-work.

wireless sensor networksmart classroomedge nodemulti-objective improved particle swarm optimiza-tion algorithmnode deployment

蒋金陵、徐胜超

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广州华商学院 数据科学学院,广州 511300

无线传感网 智慧教室 边缘节点 多目标改进粒子群优化算法 节点部署

国家自然科学基金面上项目广州华商学院校内科研导师制项目

617722212023HSDS28

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(4)
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