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Energy saving potential of adaptive, networked, embedded systems

A case study
 
: Heinrich, Patrick; Oswald, Erik; Knorr, Rudi

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Fulltext (PDF; )

Fries, Steffen (Ed.) ; International Academy, Research, and Industry Association -IARIA-:
ENERGY 2016, The Sixth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. Online resource : June 26 - 30, 2016, Lisbon, Portugal. Papers
IARIA, 2016
http://www.ns2.thinkmind.org/index.php?view=instance&instance=ENERGY+2016
ISBN: 978-1-61208-484-8
9 pp.
International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (ENERGY) <6, 2016, Lisbon>
English
Conference Paper, Electronic Publication
Fraunhofer ESK
embedded systems; adaptivity; networked embedded systems; energy estimation; automotive; case study; energy saving potential; energy demand; energy model; automotive software; adaptive systems

Abstract
This paper presents and evaluates the energy saving potential of adaptive, networked, embedded systems. The aim is to demonstrate the benefits of modeling the energy demand during the development of such systems. For this purpose, the previous developed energy model is applied within a case study and different allocations of software components are compared. The estimated energy demands of these allocations are presented and discussed. The analyzed system of the case study represents an automotive system which executes two advanced driver assistance applications. The system is adaptive, which means that temporally unnecessary applications will be deactivated. Within the evaluated system this deactivation depends on the vehicle speed, which is derived by the New European Driving Cycle. Two different allocations of software components are evaluated.

: http://publica.fraunhofer.de/documents/N-404810.html