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Priority-Aware Price-Based Power Control for Co-Located WBANs Using Stackelberg and Bayesian Games

机译：使用Stackelberg和贝叶斯博弈的同位WBAN的基于优先级价格的功率控制

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摘要

According to the IEEE 802.15.6 standard, interference within each wireless body area network (WBAN) can be well addressed by the time division multiple access (TDMA)-based media access control (MAC) protocol. However, the inter-WBAN interference will be caused after multiple WBANs are gathered together. This paper proposes a priority-aware price-based power control (PPPC) scheme for mitigating the inter-WBAN interference. Specifically, to maximize the transmission data rate of sensors and control the aggregate interference suffered by coordinators, a Stackelberg game is established, in which the coordinators issue interference prices and the active sensors adjust their transmission power accordingly. On the other hand, since the information about the identities of the active sensors in a specific time slot is kept private, a Bayesian game is designed to model the interaction among sensors. Moreover, the timeliness and reliability of data transmission are guaranteed by designing the sensors’ priority factors and setting a priority-related active probability for each sensor. At last, a power control algorithm is designed to obtain optimal strategies of game players. Simulation results show that compared with other existing schemes, the proposed scheme achieves better fairness with a comparable network sum data rate and is more energy efficient.
机译：根据IEEE 802.15.6标准，可以通过基于时分多址（TDMA）的媒体访问控制（MAC）协议很好地解决每个无线体域网（WBAN）内的干扰。但是，将多个WBAN聚集在一起后，将引起WBAN间干扰。本文提出了一种基于优先级的基于价格的功率控制（PPPC）方案，以减轻WBAN之间的干扰。具体而言，为了最大化传感器的传输数据速率并控制协调员遭受的总干扰，建立了Stackelberg游戏，其中协调员发布干扰价格，有源传感器相应地调整其传输功率。另一方面，由于在特定时隙中有关活动传感器身份的信息被保密，因此设计了贝叶斯游戏以对传感器之间的交互进行建模。此外，通过设计传感器的优先级因子并为每个传感器设置与优先级相关的活动概率，可以保证数据传输的及时性和可靠性。最后，设计了一种功率控制算法来获得游戏玩家的最佳策略。仿真结果表明，与其他现有方案相比，该方案在可比的网络总数据速率下具有更好的公平性，并且具有更高的能源效率。

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