Wireless body area networks (WBANs) is a technology that offers better methods for real-time patient health monitoring. By the year 2025, industry and academia estimate up to 3 billion wearable sensors placed in different WBANs, gathering health data from patients and sending them to medical servers. However, data transmission from WBANs to those medical servers is still a challenging task. In particular, wireless transmission can result in high latency and low throughput due to interference, which causes risks to healthcare patients. The existing solutions address wireless transmission interference inside the same WBAN or the interference that one WBAN can make on another. These solutions rarely cope with both interferences from a medical application perspective. In this article, we detail PDAC, a medical application-aware MAC-layer P rotocol for D ynamic Channel A lloC ation. At a glance, PDAC takes advantage of the existence of multiple base stations in the most common wireless network environments. In this sense, it orchestrates the cooperation among base stations, even in dense medical-hospital environments, by properly allocating co-located wireless body area networks. PDAC relies on a greedy solution for a graph coloring problem to reduce interferences and enhance data communication. According to evaluations, we observe an average increase of 30% on the system throughput and an average reduction of 40% in the system latency when compared to a baseline solution.

无线人体局域网（WBAN）是一项提供实时患者健康监控的更好方法的技术。到2025年，行业和学术界估计将有多达30亿个可穿戴式传感器放置在不同的WBAN中，以收集患者的健康数据并将其发送到医疗服务器。但是，从WBAN到这些医疗服务器的数据传输仍然是一项艰巨的任务。特别地，由于干扰，无线传输会导致高等待时间和低吞吐量，这对医疗保健患者造成风险。现有解决方案解决了同一WBAN内部的无线传输干扰或一个WBAN可以对另一WBAN造成的干扰。从医学应用的角度来看，这些解决方案很少能应对两种干扰。在本文中，我们详细介绍了PDAC，这是一种医疗应用感知的MAC层P rotocol为d ynamic通道甲LLO Ç通货膨胀。乍一看，PDAC利用了最常见的无线网络环境中存在的多个基站。从这个意义上讲，即使在密集的医院环境中，它也可以通过适当地分配位于同一地点的无线人体局域网来协调基站之间的协作。PDAC依靠贪婪的解决方案来解决图形着色问题，以减少干扰并增强数据通信。根据评估，与基准解决方案相比，我们观察到系统吞吐量平均提高了30％，系统延迟平均降低了40％。