簇仿真中使用的参数
用于物联网糖尿病健康监测路由优化的簇仿真参数数据集，包含节点能量、数据包交付率等指标。
基本信息
资源简介
簇仿真中使用的参数
【数据集背景】
本数据集源站标题为《The parameters used in the cluster simulation.》。源站首次发布：2024-05-29。
【数据内容】
源站原始描述：The integration of the Internet of Things (IoT) in healthcare, especially for people with diabetes, allows for constant health monitoring. This means that doctors can watch over patients’ health more closely, making sure they catch any issues early on. With this technology, healthcare workers can be more accurate and effective when keeping an eye on how patients are doing. This not only helps in keeping track of patients’ health in real-time but also makes the whole process more reliable and eff…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 2.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0301521.t002。
【主题与分类】
源站学科分类：Space Science、Biotechnology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Mathematical Sciences not elsewhere classified。主题标签：optimal next step、grasshopper optimization algorithm、diabetic patient monitoring、patients &# 8217、delivered data packages、constant health monitoring、proposed method demonstrates、point delay parameter、cluster network nodes、proposed method。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/The_parameters_used_in_the_cluster_simulation_/25926800
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Hosseinzadeh, Mehdi; Arabi, Zohre; Ali, Saqib; Min, Hong; Malik, Mazhar Hussain (2024). The parameters used in the cluster simulation.. PLOS ONE. Dataset
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：The parameters used in the cluster simulation.
- DOI：10.1371/journal.pone.0301521.t002
- 发布日期：2024-05-29
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/The_parameters_used_in_the_cluster_simulation_/25926800
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/46655021"
文件清单
Table 2.xls（5.63 KB）
文件总体积 5.63 KB（源站 API 实测）。
数据说明
The integration of the Internet of Things (IoT) in healthcare, especially for people with diabetes, allows for constant health monitoring. This means that doctors can watch over patients’ health more closely, making sure they catch any issues early on. With this technology, healthcare workers can be more accurate and effective when keeping an eye on how patients are doing. This not only helps in keeping track of patients’ health in real-time but also makes the whole process more reliable and efficient.By implementing appropriate routing techniques, the transmission of diabetic patients’ data to medical centers will facilitate real-time and timely responses from healthcare professionals. The grasshopper optimization algorithm is employed in the proposed approach to cluster network nodes, resulting in the formation of a network tree that facilitates the establishment of connections between the cluster head and the base station. After identifying the cluster head and establishing the clusters, the second stage of routing is implemented by employing the Harris Hawks optimization algorithm. This algorithm ensures that the data pertaining to diabetic patients is transmitted to the treatment centers and hospitals with minimal delay. For node routing, the optimal next step is selected based on the parameters such as the residual energy of the node, the ratio of delivered data packages, and the number of the neighbors of the node. To continue, first, the MATLAB software is utilized to simulate the proposed method, and then, it is compared with other similar methods. This comparison is conducted based on various parameters, including delay, energy consumption, network throughput, and network lifespan. Compared to other methods, the proposed method demonstrates a significant 33% improvement in the average point-to-point delay parameter in the subsequent iterations or rounds.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0301521.t002（source: https://plos.figshare.com/articles/dataset/The_parameters_used_in_the_cluster_simulation_/25926800）。
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