首页|基于光纤的传感物联网吞吐量最大化中继节点选择

基于光纤的传感物联网吞吐量最大化中继节点选择

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中继节点是传感物联网通信的中转中心,其选择的合理性对保证物联网通信稳定和信息吞吐量具有重要意义.提出基于光纤的传感物联网吞吐量最大化中继节点选择方法.构建传感物联网模型,在平面中任意布局节点,利用所在点数据整合全部节点,在目标光纤传感器基站中找出主瓣,识别光源节点传输的信号.计算节点能量平均数,在自适应状态中将能量的分母最小化.在候选节点选取可将已知的光信道状态完整传输给其他节点的中继节点,基于统计独立分布获得系统平均接收信噪比,选择光纤传感器天线完成吞吐量最大化中继节点选择.仿真结果表明,所提方法在节点数量为22 时的中断概率趋近于 0;在光源节点功率 30 dBm时,网络吞吐率达到 98%.
Optical Fiber Based Sensor Internet of Things Throughput Maximization Relay Node Selection
The relay node is the transit center of the sensor Internet of Things communication,and the rationality of its selection is of great significance to ensure the stability of the Internet of Things communication and information throughput.A method of selecting relay nodes based on optical fiber to maximize the throughput of the sensing Internet of Things is proposed.The sensor Internet of Things model is constructed.The nodes are randomly arranged in the plane.All nodes are integrated using the point data.The main lobe is found in the target optical fiber sensor base station to identify the signal transmitted by the light source node.The average number of node energy is calculated,and the denominator of energy in the adaptive state is minimized.Among the candidate nodes,the relay node that can completely transmit the known optical channel status to other nodes is selected.Based on the statistical independent distribu-tion,the average received SNR of the system is obtained,and the fiber sensor antenna is selected to maximize the throughput.Simulation results show that the outage probability of the proposed method approaches 0 when the number of nodes is 22.When the power of the light source node is 30 dBm,the network throughput reaches 98%.

optical fiber sensorinternet of things technologyrelay node selectionnetwork throughputfiber signal-to-noise ratio

马青云、刘海鸥

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广州软件学院 电子系,广东 广州 510900

广州软件学院 计算机系,广东 广州 510900

光纤传感器 物联网技术 中继节点选择 网络吞吐量 光纤信噪比

广东省创强科研项目广州软件学院校级课题项目

2020KQNCX138ky202106

2024

传感技术学报
东南大学 中国微米纳米技术学会

传感技术学报

CSTPCD北大核心
影响因子:1.276
ISSN:1004-1699
年,卷(期):2024.37(2)
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