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Cross-layer algorithm for QoS in WBANs

机译:WBAN中QoS的跨层算法

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The rapid growth of wireless technologies enables continuous healthcare monitoring of mobile patients using compact biomedical wireless sensor motes. The power available in these sensors is often restricted because of the size of the battery. In a lot of applications, a Wireless Body Area Network's sensor should operate while supporting a battery life time of months or even years without intervention. In order to limit the sensors' temperature rise and in addition to save the battery resources, the energy consumption should be minimized. Thus we propose in this paper a cross layer energy saving solution in WBANs. As the wireless communication is likely to be the most power consuming, we base our work on reducing the number of packet to be sent to the freshest ones. Moreover, an intelligent cluster head selection algorithm is presented.
机译:无线技术的飞速发展使得能够使用紧凑型生物医学无线传感器微粒对移动患者进行持续的医疗保健监控。这些传感器中可用的功率通常由于电池的大小而受到限制。在许多应用中,无线人体局域网的传感器应在支持数月甚至数年电池寿命的情况下运行,而无需干预。为了限制传感器的温度上升并节省电池资源,应将能耗降至最低。因此,我们在本文中提出了WBAN中的跨层节能解决方案。由于无线通信可能是最耗电的,因此我们的工作基于减少要发送到最新数据包的数据包数量。此外,提出了一种智能的簇头选择算法。

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