Advertisement

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)

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.

References

  1. 1.
    “Cmu motion capture database,” http://mocap.cs.cmu.edu
  2. 2.
    “Mixim project website,” http://mixim.sourceforge.net
  3. 3.
    “Omnet++ network simulator website,” http://www.omnetpp.org
  4. 4.
    Hong, X., Gerla, M., Pei, G., Chiang, C.-C.: A group mobility model for ad hoc wireless networks. In: Proceedings of the 2nd ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 53–60. ACM (1999)Google Scholar
  5. 5.
    Hyytiä, E., Virtamo, J.: Random waypoint mobility model in cellular networks. Wirel. Netw. 13(2), 177–188 (2007)CrossRefGoogle Scholar
  6. 6.
    Liang, B., Haas, Z.J.: Predictive distance-based mobility management for pcs networks. In: INFOCOM’99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, vol. 3, pp. 1377–1384. IEEE (1999)Google Scholar
  7. 7.
    Mei, A., Stefa, J.: Swim: a simple model to generate small mobile worlds. In: INFOCOM 2009, IEEE, pp. 2106–2113. IEEE (2009)Google Scholar
  8. 8.
    Nabi, M., Geilen, M., Basten, T.: Moban: a configurable mobility model for wireless body area networks. In: Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques, pp. 168–177. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2011)Google Scholar
  9. 9.
    Ren, H., Meng, M.Q.-H.: Understanding the mobility model of wireless body sensor networks. In: 2006 IEEE International Conference on Information Acquisition, pp. 306–310. IEEE (2006)Google Scholar
  10. 10.
    Royer, E.M., Melliar-Smith, P.M., Moser, L.E.: An analysis of the optimum node density for ad hoc mobile networks. In: IEEE International Conference on Communications, 2001, ICC 2001, vol. 3, pp. 857–861. IEEE (2001)Google Scholar
  11. 11.
    Sánchez, M., Manzoni, P.: Anejos: a java based simulator for ad hoc networks. Future Gener. Comput. Syst. 17(5), 573–583 (2001)CrossRefGoogle Scholar
  12. 12.
    Sandhu, M.M., Akbar, M., Behzad, M., Javaid, N., Khan, Z.A., Qasim, U.: Mobility model for wbans. In: 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), pp. 155–160. IEEE (2014)Google Scholar
  13. 13.
    Sandhu, M.M., Javaid, N., Jamil, M., Khan, Z.A., Imran, M., Ilahi, M., Khan, M.: Modeling mobility and psychological stress based human postural changes in wireless body area networks. Comput. Human Behav. 51, 1042–1053 (2015)CrossRefGoogle Scholar
  14. 14.
    Zhao, C., Sichitiu, M.L.: N-body: social based mobility model for wireless ad hoc network research. In: 2010 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON), pp. 1–9. IEEE (2010)Google Scholar
  15. 15.
    Zonoozi, M.M., Dassanayake, P.: User mobility modeling and characterization of mobility patterns. IEEE J. Select. Areas Commun. 15(7), 1239–1252 (1997)CrossRefGoogle Scholar

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

Personalised recommendations