SmartBAN Performance Evaluation for Diverse Applications

  • Rida KhanEmail author
  • Muhammad Mahtab Alam
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 297)


Wireless Body Area Networks (WBANs) envision the realization of several applications which involve the physiological monitoring and/or feedback generations according to the monitored vital signs. These applications range from telehealth or telemedicine to sports and entertainment. SmartBAN provides the physical (PHY) and medium access control (MAC) layer specifications for a simplified and efficient execution of these applications. This paper provides an overview of the existing WBAN use-cases and categorizes them according to their data rate requirements. The SmartBAN performance is thoroughly investigated for the implementation of these diverse applications. For performance evaluation, packet reception rate (PRR), aggregated throughput and latency are taken as the primary quality of service (QoS) criteria. We assume two different channel models, namely static CM3B (S-CM3B) and realistic CM3B (R-CM3B), and different options for the slot durations to further comprehend the results. The simulation results indicate that smaller slot duration performs better in terms of PRR and latency while longer slot durations are more effective to support high data rate application throughput requirements.


Wireless body area network (WBAN) SmartBAN Data rate Packet reception rate (PRR) Throughput Latency 


  1. 1.
    Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., Jamalipour, A.: Wireless body area networks: a survey. IEEE Commun. Surv. Tutorials 16(3), 1658–1686 (2014)CrossRefGoogle Scholar
  2. 2.
    Scazzoli, D., Kumar, A., Sharma, N., Magarini, M., Verticale, G.: Fault recovery in time-synchronized mission critical ZigBee-based wireless sensor networks. Int. J. Wirel. Inf. Netw. 24(3), 268–277 (2017)CrossRefGoogle Scholar
  3. 3.
    Scazzoli, D., Kumar, A., Sharma, N., Magarini, M., Verticale, G.: A novel technique for ZigBee coordinator failure recovery and its impact on timing synchronization. In: Proceedings of IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), pp. 1–5. IEEE, Valencia (2016)Google Scholar
  4. 4.
    IEEE Standard for Local and metropolitan area networks - Part 15.6: Wireless Body Area Networks. Accessed 25 July 2019
  5. 5.
    Smart Body Area Networks (SmartBAN): System Description. Accessed 25 July 2019
  6. 6.
    Smith, D.B., Hanlen, L.W.: Channel modeling for wireless body area networks. In: Mercier, P.P., Chandrakasan, A.P. (eds.) Ultra-Low-Power Short-Range Radios. ICS, pp. 25–55. Springer, Cham (2015). Scholar
  7. 7.
    Alam, M. M., Hamida, E. B.: Performance evaluation of IEEE 802.15.6 MAC for wearable body sensor networks using a space-time dependent radio link model. In: Proceedings of IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), pp. 441–448. IEEE, Qatar (2014)Google Scholar
  8. 8.
    Smart Body Area Network (SmartBAN): Enhanced Ultra-Low Power Physical Layer. Accessed 26 May 2018
  9. 9.
    Smart Body Area Network (SmartBAN): Low Complexity Medium Access Control (MAC) for SmartBAN. Accessed 26 May 2018
  10. 10.
    Khan, R., Alam, M. M.: Joint PHY-MAC realistic performance evaluation of body-to-body communication in IEEE 802.15.6 and SmartBAN. In: Proceedings of IEEE 12th International Symposium on Medical Information & Communication Technology. IEEE, Australia (2018)Google Scholar
  11. 11.
    Simon, M.K., Alouini, M.S.: Digital Communication over Fading Channel, 2nd edn. Wiley, New York (2005)Google Scholar
  12. 12.
    Arnon, S., Bhastekar, D., Kedar, D., Tauber, A.: A comparative study of wireless communication network configurations for medical applications. IEEE Wirel. Commun. 10(1), 56–61 (2003)CrossRefGoogle Scholar
  13. 13.
    Chakraborty, C., Gupta, B., Ghosh, S.: A review on telemedicine-based WBAN framework for patient monitoring. Telemedicine J. E-health: Official J. Am. Telemedicine Assoc. 19 (2013)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Thomas Johann Seebeck Department of ElectronicsTallinn University of TechnologyTallinnEstonia

Personalised recommendations