2018 IEEE International Conference on Healthcare Informatics (ICHI) (2018)
New York City, NY, USA
Jun 4, 2018 to Jun 7, 2018
Wireless body area networks have seen a rise in popularity both for clinical and personal use. Infrastructures have been developed to enhance scalability, flexibility, and incorporate real-time analysis with cloud servers. However, much work needs to be done to address clinical settings with many dynamic variables and constraints. Our proposed system focuses on how analyses can be scheduled to meet user needs, while not exceeding battery limitations. We consider several different scheduling approaches, and introduce a context-aware adaptation that provides a more equal distribution among analyses. These are performed within a budget based framework which specifies the number of analyses the system may perform. This budget changes dynamically based on contextual variables, working to preserve the battery life of the device for some extended period of time specified by the user.
body area networks, cloud computing, ubiquitous computing
J. Reeves and M. Li, "Context-Aware Analysis Scheduling in Wireless Body Area Networks," 2018 IEEE International Conference on Healthcare Informatics (ICHI), New York City, NY, USA, 2018, pp. 342-344.