Abstract
Rapid proliferation in the medical wearable device market has become the center of attention and changed the every corner of the medical world for the effective and economical information transmission, but because of the tiny size and high power drain more battery charge is consumed, so to remedy that problem this paper proposes ON-OFF Battery Friendly Algorithm (OBFA) to minimize the energy drain and hence to enhance the battery lifetime of these portable devices. Patient’s bio-signals such as, electrocardiogram (ECG) data from World’s larger database, i.e., PhysioNet is taken and examined with our proposed OBFA for further transmission over joint IoT and Wireless Body Sensor Networks (WBSNs). Experimental platform reveals that battery charge consumption is reduced and lifetime is improved in comparison with traditional baseline scheme.
First Co-Author—S. Pirbhulal and A. H. Sodhro.
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Acknowledgements
We gratefully acknowledge the volunteers who participated in our study. This work was supported in part by the science technology and innovation committee of Shenzhen for research projects (Grant JCYJ20160429174426094, JCYJ20170413170901569, JCYJ20151030151431727, JCYJ20150529164154046), Science and the Technology Planning Project of Guangdong Province (No. 2016A030310129 and 2014A020212257), the Guangzhou Science and Technology Planning Project (No. 201704020079), the National Key Research and Development Program of China (2016YFC1300300) and CAS President’s International Fellowship for Visiting Scientists (2017VTA0011).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pirbhulal, S., Sodhro, A.H., Sekhari, A., Ouzrout, Y., Wu, W. (2018). Battery Friendly Internet of Medical Media Things Networks. In: Fortino, G., et al. Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-93797-7_2
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DOI: https://doi.org/10.1007/978-3-319-93797-7_2
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