Paper Info
Title
DoE-based performance optimization of energy management in sensor nodes powered by tunable energy-harvesters
Abstract
An energy-harvester-powered wireless sensor node is a complicated system with many design parameters. To investigate the various trade-offs among these parameters, it is desirable to explore the multi-dimensional design space quickly. However, due to the large number of parameters and costly simulation CPU times, it is often difficult or even impossible to explore the design space via simulation. A design of experiment (DoE) approach using the response surface model (RSM) technique can enable fast design space exploration of a complete wireless sensor node powered by a tunable energy harvester. As a proof of concept, a software toolkit has been developed which implements the DoE-based design flow and incorporates the energy harvester, tuning controller and wireless sensor node. Several test scenarios are considered, which illustrate how the proposed approach permits the designer to adjust a wide range of system parameters and evaluate the effect almost instantly but still with high accuracy..
Year
DOI
Venue
2013
10.7873/DATE.2013.110
DATE
Keywords
Field
DocType
energy-harvester-powered wireless,doe-based performance optimization,design space,design parameter,doe-based design flow,complete wireless,complicated system,fast design space exploration,sensor node,energy management,wireless sensor node,multi-dimensional design space,tunable energy-harvesters,design of experiment
Energy management,Key distribution in wireless sensor networks,Control theory,Computer science,Real-time computing,Electronic engineering,Design flow,Proof of concept,Mobile wireless sensor network,Design space exploration,Design of experiments
Conference
ISSN
Citations 
PageRank 
1530-1591
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
Tom J. Kazmierski15820.36
Leran Wang2113.54
Bashir Al-Hashimi3253.82
geoffrey merrett441149.30