Abstract
Remote health monitoring is one of the emerging IoT applications that has attracted the attention of communication and health sectors in recent years. We enable software defined networking in a wireless sensor network to provide easy reconfiguration and at run-time network management. In this way, we devise a multi-objective decision making approach that is implemented at the network intelligence to find the set of optimal paths that routes physiological data over a wireless medium. In this work, the main considered parameters for reliable data communication are path traffic, path consumed energy, and path length. Using multi-objective optimization technique within a case study, we find the best routes that provide reliable data communication.
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Notes
- 1.
According to the “Statista” information, there are 5,627 hospitals and 902,202 beds in the US, where it concludes that in average there are 160 beds per hospital. In a sample hospital with 10 departments, there are 16 beds per department. By applying the nurse-to-patient staffing requirement in the US (1:4), there should be four nurses per department.
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Acknowledgment
This work is funded by the Swedish Knowledge Foundation (KKS) throughout research profile Embedded Sensor System for Health (ESS-H), the distributed environments E-care@home, and Research Environment for Advancing Low Latency Internet (READY).
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Fotouhi, H., Vahabi, M., Ray, A., Björkman, M. (2016). Reliable Communication in Health Monitoring Applications. In: Ahmed, M., Begum, S., Raad, W. (eds) Internet of Things Technologies for HealthCare. HealthyIoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_10
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DOI: https://doi.org/10.1007/978-3-319-51234-1_10
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