Wireless body area networks (WBANs) are cyber-physical systems that emerged as a key technology to provide real-time health monitoring and ubiquitous healthcare services. WBANs could operate in dense environments such as in a hospital and lead to a high mutual communication interference in many application scenarios. The excessive interferences will significantly degrade the network performance, including depleting the energy of WBAN nodes more quickly and even eventually jeopardize people's lives because of unreliable (caused by the interference) healthcare data collections. Therefore, it is critical to mitigate the interference among WBANs to increase the reliability of the WBAN system while minimizing the system power consumption. Many existing approaches can deal with communication interference mitigation in general wireless networks but are not suitable for WBANs because of ignoring the social nature of WBANs by them. Unlike the previous research, we for the first time propose a power game based approach to mitigate the communication interferences for WBANs based on the people's social interaction information. Our major contributions include: 1) modeling the inter-WBANs interference and determine the distance distribution of the interference through both theoretical analysis and Monte Carlo simulations; 2) developing social interaction detection and prediction algorithms for people carrying WBANs; and 3) developing a power control game based on the social interaction information to maximize the system's utility while minimize the energy consumption of WBANs system. The extensive simulation results show the effectiveness of the power control game for inter-WBAN interference mitigation using social interaction information. Our research opens a new research vista of WBANs using social networks.

中文翻译：

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使用社交网络的信息物理无线体域网系统的干扰减轻

无线体域网 (WBAN) 是一种网络物理系统，作为提供实时健康监测和无处不在的医疗保健服务的关键技术而出现。WBAN 可以在医院等密集环境中运行，并在许多应用场景中导致高度的相互通信干扰。过度的干扰会显着降低网络性能，包括更快地耗尽 WBAN 节点的能量，甚至最终会因为不可靠的（由干扰引起的）医疗保健数据收集而危及人们的生命。因此，减轻WBAN之间的干扰以提高WBAN系统的可靠性同时最小化系统功耗至关重要。许多现有方法可以处理一般无线网络中的通信干扰缓解，但不适合 WBAN，因为它们忽略了 WBAN 的社会性质。与之前的研究不同，我们首次提出了一种基于权力博弈的方法，以基于人们的社交互动信息来减轻 WBAN 的通信干扰。我们的主要贡献包括：1) 对 WBAN 间干扰进行建模，并通过理论分析和蒙特卡罗模拟确定干扰的距离分布；2) 为携带 WBAN 的人开发社交互动检测和预测算法；3) 开发基于社交互动信息的权力控制游戏以最大化系统' s 效用，同时最大限度地减少 WBANs 系统的能源消耗。广泛的模拟结果显示了功率控制游戏使用社交互动信息减轻 WBAN 间干扰的有效性。我们的研究为使用社交网络的 WBAN 开辟了新的研究前景。