Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/70843
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dc.titleLow-energy scheduling algorithms for wearable fall pre-impact detection system
dc.contributor.authorNyan, M.N.
dc.contributor.authorTay, F.E.H.
dc.contributor.authorGuo, D.
dc.contributor.authorXu, L.
dc.contributor.authorYap, K.L.
dc.contributor.authorGoh, L.K.
dc.contributor.authorVeeravalli, B.
dc.date.accessioned2014-06-19T03:16:54Z
dc.date.available2014-06-19T03:16:54Z
dc.date.issued2008
dc.identifier.citationNyan, M.N.,Tay, F.E.H.,Guo, D.,Xu, L.,Yap, K.L.,Goh, L.K.,Veeravalli, B. (2008). Low-energy scheduling algorithms for wearable fall pre-impact detection system. WMSCI 2008 - The 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Proc. 2 : 172-178. ScholarBank@NUS Repository.
dc.identifier.isbn1934272329
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70843
dc.description.abstractIn 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.
dc.sourceScopus
dc.subjectEmbedded systems
dc.subjectEnergy-aware scheduling
dc.subjectHeterogeneous multiprocessor system
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleWMSCI 2008 - The 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Proc.
dc.description.volume2
dc.description.page172-178
dc.identifier.isiutNOT_IN_WOS
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