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A. Anzanpour, H. Rashid, A. Rahmani, A. Jantsch, N. Dutt, P. Liljeberg:
"Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management";
in: "The 10th International Conference on Ambient Systems, Networks and Technologies (ANT)", 1; herausgegeben von: Elsevier; Academic Press / Elsevier, New York, 2019, ISSN: 1877-0509, S. 493 - 500.

Management of energy dissipation and battery life is a challenge in health monitoring wearables. Low-quality data collection,non-reliable monitoring process, and missing important health events are consequences of single-goal fixed-policy solutions. Inthis research, energy dissipation of IoT-based wearable systems is managed through a dynamic multi-goal approach. Health statusof the user of a wearable device, the continuity of monitoring, and the accuracy of collected data are parameters we consider inour goal hierarchy to select a proper system management policy at run-time to achieve the most significant goal at a given time. Inour approach, a dynamic observation process assesses the user and system data and a fog-assisted control engine detects the states,enforces the proper policy, and reconfigures the wearable sensor. To demonstrate our solution, we develop a real reconfigurablewireless sensor node with an ability to follow a set of parametrically defined policies and performed a set of experiments to find themost efficient setting. Our evaluation shows that the proposed system is able to reduce the power consumption by 44% and preventthe data loss due to battery shortage in 0.78% of total data collection time compared to a baseline system without a goal manager.R

Remote Patient Monitoring; Goal Management; Wearable Electronics; Internet of Things; Energy Efficiency; Fog Computing

http://dx.doi.org/10.1016/j.procs.2019.04.067

https://publik.tuwien.ac.at/files/publik_284713.pdf