A repeated game approach for interference mitigation of priority-based Body Area Networks

Ehsan Monsef, J. Saniie
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引用次数: 5

Abstract

In this paper, we address the issue of interference between Wireless Body Area Networks(WBANs) with different medical emergency levels. The inter-WBAN interference could potentially degrade the Quality of Service (QoS) performance of sensor nodes. Furthermore, such interference leads to a fatal situation when WBANs belong to patients with different emergency condition. A game-theoretic scheme is proposed to tackle the inter-WBAN interference issue and improve the reliability of data for WBANs with different emergency levels. We formulate the interference between WBANs as “infinite repeated game” and model the emergency levels using the heterogeneous discount factors. We propose a “grim” strategy for the repeated game and investigate the conditions in which this strategy holds “Subgame Perfect Equilibrium” property. Finally, we evaluate the performance of our approach using simulation model.
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基于优先级的体域网络干扰抑制的重复博弈方法
本文研究了不同医疗急救级别的无线体域网络(wban)之间的干扰问题。wban间的干扰可能会降低传感器节点的服务质量(QoS)性能。此外,当病人的急诊情况不同时,这种干扰会导致致命的情况。提出了一种解决wban间干扰问题的博弈论方案,提高了不同应急级别wban间数据的可靠性。我们将wban之间的干扰描述为“无限重复博弈”,并使用异质贴现因子对应急水平进行建模。我们提出了一个重复博弈的“严峻”策略,并研究了该策略具有“子博弈完全均衡”性质的条件。最后,我们使用仿真模型来评估我们的方法的性能。
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