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医疗物联网终端设备通信资源分配方法

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在密集部署的医疗物联网环境中,设备间的相互干扰可能导致通信质量下降,导致通信资源分配功耗较高,难度较大。为此,提出医疗物联网终端设备通信资源低功耗分配方法。建立物联网终端设备通信资源最优分配目标函数。基于设置终端设备公平性度量因子,完成终端设备子载波分配,解决通信冲突问题。通过为每个终端设备分配特定的子载波,可以减少设备间的干扰,提高频谱利用效率。基于此,基于DNN网络,建立压缩网络和功率分配网络,将压缩后的信息作为功率分配网络的输入,最小化终端设备在医疗物联网中的总发射功率,以此实现医疗物联网终端设备通信资源的低功耗分配。实验结果表明,研究方法应用下,资源利用率升高速度较快,最终可达60%以上。利用所提方法分配通信资源后,医疗物联网的吞吐量保持在60Mbps左右。以上结果说明所提方法具有较高的资源利用率和网络吞吐量,可有效降低资源分配功耗。
Method for Allocatiing Communication Resource for Medical Iot Terminal Devices
In densely deployed medical Internet of Things environments,mutual interference between devices may lead to the decline of communication quality,resulting in high power consumption and difficulty in communication re-source allocation.Therefore,a low power allocation method for communication resources of medical IoT terminal e-quipment is proposed.Establish the objective function for the optimal allocation of communication resources of Internet of Things terminal equipment.Based on setting the fairness measurement factor of the terminal equipment,the subcarrier allocation of the terminal equipment is completed to solve the communication conflict problem.By assigning specific subcarriers to each terminal device,interference between devices can be reduced and spectrum utilization effi-ciency can be improved.Based on this,a compression network and a power distribution network were established based on the DNN network.The compressed information was used as the input of the power distribution network to minimize the total transmission power of the terminal equipment in the medical Internet of Things,so as to realize the low power allocation of the communication resources of the medical Internet of Things terminal equipment.The experi-mental results show that under the application of the research method,the resource utilization rate increases rapidly,and eventually reaches more than 60%.After the proposed method is used to allocate communication resources,the throughput of the medical Internet of Things is maintained at about 60Mbps.The above results show that the proposed method has high resource utilization and network throughput,and can effectively reduce resource allocation power con-sumption.

Internet of Medical ThingsTerminal DevicesSubcarrier AllocationPower AllocationCommunication Resources.

吴伟、陈李莹

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福建医科大学附属第一医院,福建 福州 350001

医疗物联网 终端设备 子载波分配 功率分配 通信资源

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(11)