JMMM: A Mobility Model for WBANs Based on Human Joint Movements

  • Chengjie Guan
  • Bin Liu
  • Zhiqiang Liu
  • Yufei Zhang
  • Xiaoyu Zhang
Conference paper
Part of the Internet of Things book series (ITTCC)


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.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Chengjie Guan
    • 1
  • Bin Liu
    • 1
  • Zhiqiang Liu
    • 1
  • Yufei Zhang
    • 1
  • Xiaoyu Zhang
    • 1
  1. 1.CAS Key Laboratory of Electromagnetic Space InformationUniversity of Science and Technology of ChinaHefeiChina

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