Recently, wearable sensor technology plays an important role in observing the physiological vitals from human body and providing support for analyzing the health conditions. It is a combination of communication technology and sensing system to view and collect the changes of vital signs in human body. Data collection and analyzing are important task for health monitoring and diagnosis in medical applications. Transmitting data in open wireless communication medium is a crucial process to ensure the reliability of medical data analysis. In this paper, the proposed method focusing on the priority-based data transmission using selective decision mode for achieving successful data delivery is presented. Congestion mitigation and perfect queuing are the selective decision modes to avoid data losses and reduce dissemination time. Depending on the rate of congestion and priority of the data sensed, transmission is balanced using queuing or delivery as modeled in the decision mode. The comparative analysis results prove the consistency of the proposed method by improving queue utilization and success rate by 37.18% and 3.67% and reducing the average delay by 23.69% respectively, for the varying transmission intervals.

最近，可穿戴传感器技术在观察人体的生理机能并为分析健康状况提供支持方面起着重要作用。它是通信技术和传感系统的结合，可以查看和收集人体生命体征的变化。数据收集和分析是医疗应用中健康监测和诊断的重要任务。在开放的无线通信介质中传输数据是确保医学数据分析可靠性的关键过程。在本文中，提出了一种针对基于优先级的数据传输的方法，该数据传输使用选择性决策模式来实现成功的数据传递。拥塞缓解和完美排队是避免数据丢失并减少传播时间的选择性决策模式。根据拥塞率和所感测数据的优先级，使用在决策模式中建模的排队或传递来平衡传输。对比分析结果通过在不同的传输间隔下分别将队列利用率和成功率分别提高了37.18％和3.67％，并将平均延迟降低了23.69％，证明了该方法的一致性。