Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70843
Title: Low-energy scheduling algorithms for wearable fall pre-impact detection system
Authors: Nyan, M.N. 
Tay, F.E.H. 
Guo, D.
Xu, L. 
Yap, K.L. 
Goh, L.K.
Veeravalli, B. 
Keywords: Embedded systems
Energy-aware scheduling
Heterogeneous multiprocessor system
Issue Date: 2008
Source: Nyan, 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.
Abstract: 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.
Source Title: 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/70843
ISBN: 1934272329
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

24
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.