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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.

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/3715262/2c26687d95cd/sensors-13-07308f1.jpg

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