A Middleware for Managing Body Health Sensors on Mobile Devices

• Samuel Francisco Ferrigo UNISINOS
• Cristiano André da Costa UNISINOS
• Rodrigo da Rosa Righi UNISINOS

DOI: https://doi.org/10.5753/sbcup.2017.3310

Abstract

The use of IoT sensors to monitoring vital signs presents a series of challenges, such as the search for energy efficiency and the synchronization between sensors. A solution to these problems is presented by the MOMICARE model, a middleware for smartphones to manage a body wireless sensor network with emphasis on power consumption and synchronization of data sent by these sensors. As a scientific contribution, MOMICARE offers low power consumption and timing between the data collected by the sensors. The evaluation of the model was performed through simulations carried out in the Cooja software, presenting a reduction in energy consumption.

References

Castillejo, P., Martinez, J. F., Rodriguez-Molina, J., and Cuerva, A. (2013). Integration of wearable devices in a wireless sensor network for an E-health application. IEEE Wireless Communications, 20(4):38–49.

Contiki (2017). Contiki open source operating system. Disponível em: [link]. Acesso em: 05.fev.2017.

Djenouri, D. and Bagaa, M. (2016). Synchronization protocols and implementation issues in wireless sensor networks: A review. IEEE Systems Journal, 10(2):617–627.

Goswami, S., Roy, P., Dey, N., and Chakraborty, S. (2016). Wireless body area networks combined with mobile cloud computing in healthcare: A survey. In Classification and Clustering in Biomedical Signal Processing, pages 388–402. IGI Global.

IBGE, I. B. d. G. e. E. (2015). Séries estatísticas e históricas. Disponível em: [link]. Acesso em: 29.set.2015.

IEEE (2011). 802.15.4 Low-Rate Wireless Personal Area Networks (LR-WPANs), volume 2011.

Jung, E. Y., Kim, J. H., Chung, K. Y., and Park, D. K. (2013). Home health gateway based healthcare services through U-health platform. Wireless Personal Communications, 73(2):207–218.

Lane, N. D., Lin, M., Mohammod, M., Yang, X., Lu, H., Cardone, G., Ali, S., Doryab, A., Berke, E., Campbell, A. T., et al. (2014). Bewell: Sensing sleep, physical activities and social interactions to promote wellbeing. Mobile Networks and Applications, 19(3):345–359.

Lee, Y.-G., Jeong, W. S., and Yoon, G. (2012). Smartphone-Based Mobile Health Monitoring. Telemedicine and e-Health, 18(8):585–590.

Maia, P., Baffa, A., Cavalcante, E., Delicato, F. C., Batista, T., and Pires, P. F. (2015). A middleware platform for integrating devices and developing applications in e-health. In Computer Networks and Distributed Systems (SBRC), 2015 XXXIII Brazilian Symposium on, pages 10–18. IEEE.

Merrell, R. C. and Doarn, C. R. (2014). m-Health. Telemedicine and e-Health, 20(2):99–101.

Moser, L. E. and Melliar-Smith, P. (2015). Personal health monitoring using a smartphone. In 2015 IEEE International Conference on Mobile Services, pages 344–351. IEEE.

Riazul Islam, S. M., Humaun Kabir, M., and Hossain, M. (2015). The internet of things for health care: A comprehensive survey. IEEE Access, 3:678–708.

Seeger, C., Van Laerhoven, K., and Buchmann, A. (2015). Myhealthassistant: An event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network. IEEE journal of biomedical and health informatics, 19(2):752–760.

Shankar, S. K. and Tomar, A. S. (2016). A survey on wireless body area network and electronic-healthcare. In Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on, pages 598–603. IEEE.

SIG, B. S. I. G. (2016). Bluetooth low energy. Disponível em: [link]. Acesso em: 15.set.2016.

Wang, K. I. K., Dubey, S., Rajamohan, A., and Salcic, Z. (2015). An Android-Based Mobile 6LoWPAN Network Architecture for Pervasive Healthcare. Proceedings - 2015 International Conference on Intelligent Environments, IE 2015, pages 49–56.