Priority-based data transmission using selective decision modes in wearable sensor based healthcare applications

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.