Low-energy Scheduling Algorithms for Wearable Fall Pre-impact Detection System
M.N. Nyan, Francis E.H. Tay, D Guo, L Xu, K.L. Yap, L.K. Goh, B. Veeravalli
In this paper, novel low-energy static and dynamic
scheduling algorithms with low computational
complexities for heterogeneous multiprocessor systems
are proposed. Since battery life of the system plays a
critical role in wearable embedded systems, the
algorithms are useful for energy consumption reduction in
Body Area Network (BAN)-based wearable
multiprocessor systems in healthcare applications. Our
developed BAN-based fall pre-impact detection system is
used in this investigation. Based on simulation results
using the algorithms, it is found that the battery life can be
extended up to 41.6 percent more of its normal life
without the algorithms. Full Text
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