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面向智慧教室的無(wú)線(xiàn)傳感網(wǎng)邊緣節點(diǎn)智能部署方法
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1.廣州華商學(xué)院 2.數據科學(xué)學(xué)院

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TP393.4 ?????

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國家自然科學(xué)基金項目(面上項目,重點(diǎn)項目,重大項目)


Intelligent Deployment Method of Wireless Sensor Network Edge Nodes for Smart Classroom
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    摘要:

    摘 要: 為降低部署后的通信時(shí)延,提高智慧教室的數據發(fā)送與網(wǎng)絡(luò )使用效率,提出面向智慧教室的無(wú)線(xiàn)傳感網(wǎng)邊緣節點(diǎn)智能部署方法。以智慧教室場(chǎng)景中良好的通信、最大限度降低部署邊緣節點(diǎn)成本為優(yōu)化目標,構建邊緣節點(diǎn)智能部署的目標函數。針對目標函數設定流量約束條件、無(wú)線(xiàn)傳感網(wǎng)數據流約束條件、節點(diǎn)計算能力約束條件。自適應調整粒子群優(yōu)化算法的慣性權重、粒子更新速度、Pareto最優(yōu)解保存策略,設計多目標改進(jìn)粒子群優(yōu)化算法求解目標函數,實(shí)現面向智慧教室的無(wú)線(xiàn)傳感網(wǎng)邊緣節點(diǎn)智能部署。測試結果表明,該方法的時(shí)延較低,網(wǎng)絡(luò )計算能力較高,保證了智慧教室無(wú)線(xiàn)傳感網(wǎng)通信和傳輸質(zhì)量。

    Abstract:

    The communication quality and transmission effect of wireless sensor networks in smart classrooms are different under different edge node deployment modes. 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. The objective function of intelligent deployment of edge nodes is built with the optimization goal of good communication in the smart classroom scenario and minimizing the cost of deploying edge nodes. Set traffic constraints, data flow constraints and node computing capacity constraints for the objective function. Self adaptively adjust the inertia weight, particle update speed and Pareto optimal solution preservation strategy of the particle swarm optimization algorithm, design a multi-objective improved particle swarm optimization algorithm to solve the objective function, and achieve intelligent deployment of wireless sensor network edge nodes for smart classrooms. The test results show that? the proposed method has low delay and high network computing capacity, ensuring the communication and transmission quality of wireless sensor network in smart classrooms.

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蔣金陵,徐勝超.面向智慧教室的無(wú)線(xiàn)傳感網(wǎng)邊緣節點(diǎn)智能部署方法計算機測量與控制[J].,2024,32(4):334-340.

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歷史
  • 收稿日期:2023-09-05
  • 最后修改日期:2023-10-14
  • 錄用日期:2023-10-16
  • 在線(xiàn)發(fā)布日期: 2024-04-29
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