Proceedings of the 2007 International Symposium on Low Power Electronics and Design 2007
DOI: 10.1145/1283780.1283849
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Energy management of DVS-DPM enabled embedded systems powered by fuel cell-battery hybrid source

Abstract: Dynamic voltage scaling (DVS) and dynamic power management (DPM) are the two main techniques for reducing the energy consumption of embedded systems. The effectiveness of both DVS and DPM needs to be considered in the development of an energy management policy for a system that consists of both DVS-enabled and DPM-enabled components. The characteristics of the power source also have to be explicitly taken into account. In this paper, we propose a policy to maximize the operational lifetime of a DVS-DPM enabled… Show more

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Cited by 15 publications
(7 citation statements)
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“…Articles that meet the exclusion criteria were removed from the list. Articles [68,69] were excluded from the final list on the basis of criteria discussed above.…”
Section: Exclusion Criteriamentioning
confidence: 99%
“…Articles that meet the exclusion criteria were removed from the list. Articles [68,69] were excluded from the final list on the basis of criteria discussed above.…”
Section: Exclusion Criteriamentioning
confidence: 99%
“…First, we note that for each sub-problem that targets minimizing the expected energy consumption E h (f ) = Ea 1 ,..,am (f ) corresponding to a specific a 1 ,a 2 ,..,a i ,..am combination, the frequency range constraints (20)- (22) can be captured in a single constraint of the form:…”
Section: Appendixmentioning
confidence: 99%
“…While the research efforts that focus on only on DVS or DPM are many, solutions that propose integrating both policies under a unified framework are relatively few [4,5,8,13,20]. Authors in [13] apply a stochastic DPM policy by using the different DVS voltage levels as multiple active power modes.…”
Section: Introductionmentioning
confidence: 99%
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“…The research on energy-efficient designs highly depends on the characteristics of batteries and their usages. In this respect, researchers have proposed excellent results on battery models (e.g., [15][16]), recover behaviors (e.g., [10]), fuel batteries (e.g., [17]), multi-battery usages (e.g., [18]), etc.…”
Section: Introductionmentioning
confidence: 99%