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ThinkMind // ENERGY 2016, The Sixth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies // View article energy_2016_1_10_30019


Energy Saving Potential of Adaptive, Networked, Embedded Systems - A Case Study

Authors:
Patrick Heinrich
Erik Oswald
Rudi Knorr

Keywords: Embedded systems; Adaptivity; Networked systems; Energy estimation; Automotive; Case study.

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. One represents the today's allocation, the other an energy-focused allocation. The case study shows an energy saving potential of about 18 %.

Pages: 1 to 9

Copyright: Copyright (c) IARIA, 2016

Publication date: June 26, 2016

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-484-8

Location: Lisbon, Portugal

Dates: from June 26, 2016 to June 30, 2016

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