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具有运动趋势感知的人体传感器网络优化切换方案。

An optimized handover scheme with movement trend awareness for body sensor networks.

机构信息

Department of Electrical and Computer Engineering, National University of Singapore, Singapore.

出版信息

Sensors (Basel). 2013 Jun 3;13(6):7308-22. doi: 10.3390/s130607308.

DOI:10.3390/s130607308
PMID:23736852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3715262/
Abstract

When a body sensor network (BSN) that is linked to the backbone via a wireless network interface moves from one coverage zone to another, a handover is required to maintain network connectivity. This paper presents an optimized handover scheme with movement trend awareness for BSNs. The proposed scheme predicts the future position of a BSN user using the movement trend extracted from the historical position, and adjusts the handover decision accordingly. Handover initiation time is optimized when the unnecessary handover rate is estimated to meet the requirement and the outage probability is minimized. The proposed handover scheme is simulated in a BSN deployment area in a hospital environment in UK. Simulation results show that the proposed scheme reduces the outage probability by 22% as compared with the existing hysteresis-based handover scheme under the constraint of acceptable handover rate.

摘要

当通过无线网络接口与骨干网相连的人体传感器网络 (BSN) 从一个覆盖区域移动到另一个覆盖区域时,需要进行切换以保持网络连接。本文提出了一种具有移动趋势感知的 BSN 优化切换方案。该方案使用从历史位置提取的移动趋势来预测 BSN 用户的未来位置,并相应地调整切换决策。当估计不必要的切换率满足要求且中断概率最小时,优化切换发起时间。在英国医院环境中的 BSN 部署区域中对所提出的切换方案进行了模拟。仿真结果表明,在所提出的切换方案下,在可接受的切换率约束下,与基于滞后的现有切换方案相比,中断概率降低了 22%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/aeebf4c9beda/sensors-13-07308f11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/cca8a783a4d1/sensors-13-07308f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/58baf5b10ddd/sensors-13-07308f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/aeebf4c9beda/sensors-13-07308f11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/61886c84428d/sensors-13-07308f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/130361bf1534/sensors-13-07308f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/626db4623d72/sensors-13-07308f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/2bfc090bbb80/sensors-13-07308f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/81001d64a6d2/sensors-13-07308f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/cca8a783a4d1/sensors-13-07308f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/58baf5b10ddd/sensors-13-07308f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1b/3715262/aeebf4c9beda/sensors-13-07308f11.jpg

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本文引用的文献

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Energy efficient medium access protocol for wireless medical body area sensor networks.节能型无线医疗体域网传感器网络媒体接入控制协议
IEEE Trans Biomed Circuits Syst. 2008 Dec;2(4):251-9. doi: 10.1109/TBCAS.2008.2003431.
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Mobility support for health monitoring at home using wearable sensors.使用可穿戴传感器在家中进行健康监测的移动性支持。
IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):539-49. doi: 10.1109/TITB.2010.2104326. Epub 2011 Jan 6.
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Energy-efficient low duty cycle MAC protocol for wireless body area networks.用于无线体域网的高能效低占空比MAC协议。
IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):915-25. doi: 10.1109/TITB.2009.2033591. Epub 2009 Oct 20.