CLASS - A Cross Layer Algorithm for Smoothed Switchover in Multi-homed Body Sensor Networks

Sadik Armagan, Enda Fallon, Yuansong Qiao, Brian Lee
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Abstract

The introduction of remote sensor technologies has improved the standard of living for cardiovascular patients who require continuous monitoring of vital signs. In this paper, an infrastructure mode based approach is proposed in which the sensor itself communicates directly with a wireless access network. In infrastructure mode it is critical that the sensor seamlessly migrates between host access points. Our investigation therefore focuses on optimizing the switchover performance of the body sensor using a Cross Layer Algorithm for Smoothed Switchover (CLASS) which defines a Quality of Service (QoS) switchover trigger. We propose that the CLASS algorithm should be utilized within the newly standardized Media Independent Handover (MIH) framework. Results presented illustrate that our approach has a significant performance improvement over the currently suggested approach for the mobility technology Stream Control Transmission Protocol (SCTP).
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多归属身体传感器网络平滑切换的跨层算法
遥感技术的引入提高了需要持续监测生命体征的心血管患者的生活水平。本文提出了一种基于基础结构模式的传感器直接与无线接入网络通信的方法。在基础设施模式下,传感器在主机接入点之间无缝迁移是至关重要的。因此,我们的研究重点是使用平滑切换的跨层算法(CLASS)优化身体传感器的切换性能,该算法定义了服务质量(QoS)切换触发器。我们建议在新标准化的媒体独立切换(MIH)框架中使用CLASS算法。结果表明,我们的方法比目前建议的移动技术流控制传输协议(SCTP)方法有显着的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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