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Erschienen in:
2019 | OriginalPaper | Buchkapitel
JMMM: A Mobility Model for WBANs Based on Human Joint Movements
verfasst von : Chengjie Guan, Bin Liu, Zhiqiang Liu, Yufei Zhang, Xiaoyu Zhang
Erschienen in: Advances in Body Area Networks I
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Abstract
In wireless body area networks (WBAN), the sensors are usually attached on or implanted in the human body to monitor different vital signals. During routine activities, there is high mobility in WBANs, which results in frequent changes of the network topology. An accurate mobility model plays a vital role in protocol simulation and performance evaluation for WBANs. In this paper, we propose JMMM, a mobility model for WBANs according to the movement of human joints. Via mimicking the real motions of the human body, the proposed model can model the movement of any nodes in any place on body more accurately, and the changes in distance between different nodes are more realistic compared to previous models, which is of great importance in accurate simulation for WBANs. Moreover, the model is configurable, thus it is usable for a large variety of applications.