基于全球移动通信系统(GSM)和全球定位系统(GPS)的患者健康监测系统分析，并通过监测脉搏和体温与传统系统进行比较

2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI:10.1109/ICBATS54253.2022.9759015

Srikireddy Sai Kiran Reddy, S. K. Kumari

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引用次数: 0

摘要

目的:利用基于密度的聚类算法提高数据传输的能量效率，并与分区聚类算法进行比较。材料与方法:在无线传感器网络中，采用基于密度的聚类算法和分区算法进行数据传输，以求得能量效率的准确率。从数据集中收集总样本(N=1251)，通过NS2仿真工具实现。结果:基于密度的聚类和分区算法的准确率分别达到93.4%和82.4%，准确率具有统计学意义(p=0.007)。结论:基于密度的聚类比基于分区的聚类具有更好的能量效率。

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Analysis of Patient Health Monitoring System Using Global System for Mobile communication (GSM) and Global Positioning System (GPS) and Comparing with Conventional System by Monitoring Pulse Rate and Body Temperature

Aim: To enhance energy efficiency in data transfer using density based cluster algorithm and comparison with partition cluster algorithms. Materials and Methods: In Wireless Sensor Network the data transfer using density based cluster algorithm and partition algorithm has been implemented to find the accuracy rate of Energy Efficiency. The total samples(N=1251) are collected from a dataset and implemented through the NS2 simulation tool. Result: Accuracy of Density based Clustering (93.4%) and Partition algorithm (82.4%) with statistical significance (p=0.007) are achieved in the proposed system. Conclusion: The results proves that the Density based Cluster has better Energy Efficiency than Partition Cluster.

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2022 International Conference on Business Analytics for Technology and Security (ICBATS)

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