IEEE J Biomed Health Inform. 2015 Mar;19(2):541-8. doi: 10.1109/JBHI.2014.2313374. Epub 2014 Mar 24.
In critical medical emergency situations, wireless body area network (WBAN) equipped health monitoring systems treat data packets with critical information regarding patients' health in the same way as data packets bearing regular healthcare information. This snag results in a higher average waiting time for the local data processing units (LDPUs) transmitting data packets of higher importance. In this paper, we formulate an algorithm for Priority-based Allocation of Time Slots (PATS) that considers a fitness parameter characterizing the criticality of health data that a packet carries, energy consumption rate for a transmitting LDPU, and other crucial LDPU properties. Based on this fitness parameter, we design the constant model hawk-dove game that ensures prioritizing the LDPUs based on crucial properties. In comparison with the existing works on priority-based wireless transmission, we measure and take into consideration the urgency, seriousness, and criticality associated with an LDPU and, thus, allocate transmission time slots proportionately. We show that the number of transmitting LDPUs in medical emergency situations can be reduced by 25.97%, in comparison with the existing time-division-based techniques.
在关键的医疗紧急情况下,配备无线体域网 (WBAN) 的健康监测系统对待载有患者健康关键信息的数据包的方式与载有常规医疗保健信息的数据包相同。这一问题导致本地数据处理单元 (LDPU) 传输更重要数据包的平均等待时间增加。在本文中,我们提出了一种基于优先级的时隙分配算法 (PATS),该算法考虑了数据包携带的健康数据的关键特性、传输 LDPU 的能量消耗率以及其他关键 LDPU 属性等特征参数。基于该特征参数,我们设计了常数模型鹰鸽博弈,以确保根据关键属性对 LDPU 进行优先级排序。与现有基于优先级的无线传输工作相比,我们衡量并考虑了与 LDPU 相关的紧急程度、严重性和关键性,并相应地分配传输时隙。我们表明,与现有的时分技术相比,在医疗紧急情况下,传输 LDPU 的数量可以减少 25.97%。