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存在姿势性连接中断情况下的人体延迟容忍网络数据包路由延迟建模

Modeling On-Body DTN Packet Routing Delay in the Presence of Postural Disconnections.

作者信息

Quwaider Muhannad, Taghizadeh Mahmoud, Biswas Subir

机构信息

Department of Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan 22110-3030, Jordan.

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824-1226, USA.

出版信息

EURASIP J Wirel Commun Netw. 2011 Jan;2011. doi: 10.1155/2011/280324.

DOI:10.1155/2011/280324
PMID:25530749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4269839/
Abstract

This paper presents a stochastic modeling framework for store-and-forward packet routing in Wireless Body Area Networks () with postural partitioning. A prototype has been constructed for experimentally characterizing and capturing on-body topology disconnections in the presence of ultrashort range radio links, unpredictable RF attenuation, and human postural mobility. Delay modeling techniques for evaluating single-copy on-body DTN routing protocols are then developed. End-to-end routing delay for a series of protocols including opportunistic, randomized, and two other mechanisms that capture multiscale topological localities in human postural movements have been evaluated. Performance of the analyzed protocols are then evaluated experimentally and via simulation to compare with the results obtained from the developed model. Finally, a mechanism for evaluating the topological importance of individual on-body sensor nodes is developed. It is shown that such information can be used for selectively reducing the on-body sensor-count without substantially sacrificing the packet delivery delay.

摘要

本文提出了一种用于具有姿势分区的无线体域网(WBAN)中存储转发分组路由的随机建模框架。已构建了一个原型,用于在存在超短距离无线链路、不可预测的射频衰减和人体姿势移动性的情况下,通过实验表征和捕捉人体上的拓扑断开情况。然后开发了用于评估单副本人体上延迟容忍网络(DTN)路由协议的延迟建模技术。已经评估了一系列协议的端到端路由延迟,这些协议包括机会性、随机化协议以及其他两种捕捉人体姿势运动中多尺度拓扑局部性的机制。然后通过实验和仿真评估所分析协议的性能,以与从所开发模型获得的结果进行比较。最后,开发了一种评估人体上单个传感器节点拓扑重要性的机制。结果表明,此类信息可用于有选择地减少人体上的传感器数量,而不会大幅牺牲分组交付延迟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/07b0c0b96bfe/nihms614376f13.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/70c0b438dd34/nihms614376f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/7fccab2c0aed/nihms614376f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/07b0c0b96bfe/nihms614376f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/6c4d1155384f/nihms614376f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/64ecdfde83e0/nihms614376f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/943d07995543/nihms614376f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/ec9e2d521566/nihms614376f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/1ed195d7f9cd/nihms614376f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/b29c28a09be3/nihms614376f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/9d3683524fa6/nihms614376f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/a01d685f76d4/nihms614376f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/09ec2547f365/nihms614376f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/648c39f522fc/nihms614376f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/70c0b438dd34/nihms614376f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/7fccab2c0aed/nihms614376f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/4269839/07b0c0b96bfe/nihms614376f13.jpg

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本文引用的文献

1
DTN routing in body sensor networks with dynamic postural partitioning.具有动态姿势分区的人体传感器网络中的DTN路由
Ad Hoc Netw. 2010 Nov;8(8):824-841. doi: 10.1016/j.adhoc.2010.03.002.
2
The technology of accelerometry-based activity monitors: current and future.基于加速度计的活动监测技术:现状与未来。
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S490-500. doi: 10.1249/01.mss.0000185571.49104.82.
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A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation.用于计算机辅助物理康复的智能运动传感器无线体域网。
J Neuroeng Rehabil. 2005 Mar 1;2(1):6. doi: 10.1186/1743-0003-2-6.