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具有动态姿势分区的人体传感器网络中的DTN路由

DTN routing in body sensor networks with dynamic postural partitioning.

作者信息

Quwaider Muhannad, Biswas Subir

机构信息

Electrical and Computer Engineering, Michigan State University, East Lansing, MI, United States.

出版信息

Ad Hoc Netw. 2010 Nov;8(8):824-841. doi: 10.1016/j.adhoc.2010.03.002.

Abstract

This paper presents novel store-and-forward packet routing algorithms for Wireless Body Area Networks () with frequent postural partitioning. A prototype has been constructed for experimentally characterizing on-body topology disconnections in the presence of ultra short range radio links, unpredictable RF attenuation, and human postural mobility. On-body DTN routing protocols are then developed using a stochastic link cost formulation, capturing multi-scale topological localities in human postural movements. Performance of the proposed protocols are evaluated experimentally and via simulation, and are compared with a number of existing single-copy DTN routing protocols and an on-body packet flooding mechanism that serves as a performance benchmark with delay lower-bound. It is shown that via multi-scale modeling of the spatio-temporal locality of on-body link disconnection patterns, the proposed algorithms can provide better routing performance compared to a number of existing probabilistic, opportunistic, and utility-based DTN routing protocols in the literature.

摘要

本文提出了适用于具有频繁姿势划分的无线体域网(WBAN)的新型存储转发分组路由算法。已构建了一个原型,用于在存在超短程无线链路、不可预测的射频衰减和人体姿势移动性的情况下,通过实验表征人体拓扑断开情况。然后使用随机链路成本公式开发人体延迟容忍网络(DTN)路由协议,以捕捉人体姿势运动中的多尺度拓扑局部性。通过实验和仿真对所提协议的性能进行评估,并与一些现有的单副本DTN路由协议以及一种人体分组泛洪机制进行比较,该泛洪机制作为具有延迟下限的性能基准。结果表明,通过对人体链路断开模式的时空局部性进行多尺度建模,与文献中一些现有的概率性、机会性和基于效用的DTN路由协议相比,所提算法能够提供更好的路由性能。

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