Robust resource management for predictable services in wireless healthcare
Robust resource management for predictable services in wireless healthcare
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DOI：
10.1145/1540373.1540377
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发表时间：
2009-05
期刊：
影响因子：
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通讯作者：
Cunqing Hua;Rong L. Zheng
中科院分区：
文献类型：
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作者：
Cunqing Hua;Rong L. Zheng
无线技术在医疗保健行业的使用正在不断增长。良好的无线解决方案有可能降低部署成本，促进无处不在的信息访问，并通过消除电线来改善患者护理，而电线是感染源和临床护理的物理障碍。然而，人们普遍认为无线通信不可靠、不可预测且不适合安全关键应用，这阻碍了无线解决方案在尽力而为服务之外的更广泛采用。在本文中，我们论证并证明，实际上可以通过强大的资源管理来使无线网络变得更加可靠。特别是，在存在不可预测的信道动态和干扰的情况下，可以在多无线电多信道（MR-MC）无线网络中使用联合功率控制、信道分配和无线电接口选择来实现可预测的服务。使用从我们的无线网状网络测试台收集的数据进行的跟踪驱动仿真研究表明，所提出的算法在减少中断和数据包丢失概率方面确实优于现有方案。
Wireless use is growing in the health-care industry. A good wireless solution has the potential to reduce deployment cost, facilitate ubiquitous information access, and improve patient care by eliminating wires, which are a source of infection and physical impediment to clinical care. However, the general perception of wireless communication as being unreliable, unpredictable and unsuitable for safe-critical applications hampers wider adoption of wireless solutions beyond best effort services. In this paper, we argue and demonstrate that wireless networks can in fact be made more reliable by robust resource management. In particular, predictable services can be achieved using joint power control, channel assignment and radio interface selection in multi-radio multi-channel(MR-MC) wireless networks in presence of unpredictable channel dynamics and interferences. Trace-driven simulation study using data collected from our wireless mesh testbed show that the proposed algorithm is indeed superior to existing schemes in reducing outage and packet loss probabilities.